State of the Art in Neural Networks and Their Applications Book

State of the Art in Neural Networks and Their Applications


  • Author : Ayman S. El-Baz
  • Publisher : Academic Press
  • Release Date : 2021-07-21
  • Genre: Science
  • Pages : 324
  • ISBN 10 : 9780128218495

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State of the Art in Neural Networks and Their Applications Excerpt :

State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing and suitable data analytics useful for clinical diagnosis and research applications are covered, including relevant case studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume 1 covers the state-of-the-art deep learning approaches for the detection of renal, retinal, breast, skin, and dental abnormalities and more. Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of imaging technologies Provides in-depth technical coverage of computer-aided diagnosis (CAD), with coverage of computer-aided classification, Unified Deep Learning Frameworks, mammography, fundus imaging, optical coherence tomography, cryo-electron tomography, 3D MRI, CT, and more. Covers deep learning for several medical conditions including renal, retinal, breast, skin, and dental abnormalities, Medical Image Analysis, as well as detection, segmentation, and classification via AI.

Business Applications of Neural Networks Book

Business Applications of Neural Networks


  • Author : Bill Edisbury
  • Publisher : World Scientific
  • Release Date : 2000
  • Genre: Business & Economics
  • Pages : 220
  • ISBN 10 : 9789812813312

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Business Applications of Neural Networks Excerpt :

Neural networks are increasingly being used in real-world business applications and, in some cases, such as fraud detection, they have already become the method of choice. Their use for risk assessment is also growing and they have been employed to visualise complex databases for marketing segmentation. This boom in applications covers a wide range of business interests - from finance management, through forecasting, to production. The combination of statistical, neural and fuzzy methods now enables direct quantitative studies to be carried out without the need for rocket-science expertise. This is a review of the state-of-the-art in applications of neural-network methods in three important areas of business analysis. It includes a tutorial chapter to introduce new users to the potential and pitfalls of this new technology.

Complex Networks and Their Applications VIII Book

Complex Networks and Their Applications VIII


  • Author : Hocine Cherifi
  • Publisher : Springer Nature
  • Release Date : 2019-11-26
  • Genre: Technology & Engineering
  • Pages : 1034
  • ISBN 10 : 9783030366834

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Complex Networks and Their Applications VIII Excerpt :

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

Complex Networks and Their Applications VII Book

Complex Networks and Their Applications VII


  • Author : Luca Maria Aiello
  • Publisher : Springer
  • Release Date : 2018-12-05
  • Genre: Technology & Engineering
  • Pages : 677
  • ISBN 10 : 9783030054144

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Complex Networks and Their Applications VII Excerpt :

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory, together with a wealth of applications. It presents the peer-reviewed proceedings of the VII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2018), which was held in Cambridge on December 11–13, 2018. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure and network dynamics; diffusion, epidemics and spreading processes; and resilience and control; as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

Cellular Neural Networks and Their Applications Book

Cellular Neural Networks and Their Applications


  • Author : Ronald Tetzlaff
  • Publisher : World Scientific
  • Release Date : 2002
  • Genre: Technology & Engineering
  • Pages : 671
  • ISBN 10 : 9789812381217

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Cellular Neural Networks and Their Applications Excerpt :

This volume covers the fundamental theory of Cellular Neural Networks as well as their applications in various fields such as science and technology. It contains all 83 papers of the 7th International Workshop on Cellular Neural Networks and their Applications. The workshop follows a biennial series of six workshops consecutively hosted in Budapest (1990), Munich, Rome, Seville, London and Catania (2000).

Complex Networks   Their Applications X Book

Complex Networks Their Applications X


  • Author : Rosa Maria Benito
  • Publisher : Springer Nature
  • Release Date : 2022-07-07
  • Genre: Uncategoriezed
  • Pages : null
  • ISBN 10 : 9783030934095

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Complex Networks Their Applications X Excerpt :

Reconfigurable Cellular Neural Networks and Their Applications Book

Reconfigurable Cellular Neural Networks and Their Applications


  • Author : Müştak E. Yalçın
  • Publisher : Springer
  • Release Date : 2019-04-15
  • Genre: Technology & Engineering
  • Pages : 74
  • ISBN 10 : 9783030178406

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Reconfigurable Cellular Neural Networks and Their Applications Excerpt :

This book explores how neural networks can be designed to analyze sensory data in a way that mimics natural systems. It introduces readers to the cellular neural network (CNN) and formulates it to match the behavior of the Wilson–Cowan model. In turn, two properties that are vital in nature are added to the CNN to help it more accurately deliver mimetic behavior: randomness of connection, and the presence of different dynamics (excitatory and inhibitory) within the same network. It uses an ID matrix to determine the location of excitatory and inhibitory neurons, and to reconfigure the network to optimize its topology. The book demonstrates that reconfiguring a single-layer CNN is an easier and more flexible solution than the procedure required in a multilayer CNN, in which excitatory and inhibitory neurons are separate, and that the key CNN criteria of a spatially invariant template and local coupling are fulfilled. In closing, the application of the authors’ neuron population model as a feature extractor is exemplified using odor and electroencephalogram classification.

Complex Networks   Their Applications IX Book

Complex Networks Their Applications IX


  • Author : Rosa M. Benito
  • Publisher : Springer Nature
  • Release Date : 2021-01-04
  • Genre: Technology & Engineering
  • Pages : 715
  • ISBN 10 : 9783030653514

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Complex Networks Their Applications IX Excerpt :

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.

Cellular Neural Networks and Their Applications Book

Cellular Neural Networks and Their Applications


  • Author : Ronald Tetzlaff
  • Publisher : World Scientific
  • Release Date : 2002-07-08
  • Genre: Computers
  • Pages : 700
  • ISBN 10 : 9789814487764

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Cellular Neural Networks and Their Applications Excerpt :

This volume covers the fundamental theory of Cellular Neural Networks as well as their applications in various fields such as science and technology. It contains all 83 papers of the 7th International Workshop on Cellular Neural Networks and their Applications. The workshop follows a biennial series of six workshops consecutively hosted in Budapest (1990), Munich, Rome, Seville, London and Catania (2000). Contents:On the Relationship Between CNNs and PDEs (M Gilli et al.)Moving Object Tracking on Panoramic Images (P Földesy et al.)Emergence of Global Patterns in Connected Neural Networks (T Shimizu)Configurable Multi-Layer CNN-UM Emulator on FPGA (Z Nagy & P Szolgay)A CNN Based System to Blind Sources Separation of MEG Signals (M Bucolo et al.)Time as Coding Space for Information Processing in the Cerebral Cortex (W Singer)Analyzing Multidimensional Neural Activity via CNN-UM (V Gál et al.)Visual Feedback by Using a CNN Chip Prototype System (P Arena et al.)Computational and Computer Complexity of Analogic Cellular Wave Computers (T Roska)Chaotic Phenomena in Quantum Cellular Neural Networks (L Fortuna & D Porto)Fingerprint Image Enhancement Using CNN Gabor-Type Filters (E Saatci & V Tavsanoglu)CNN Based Color Constancy Algorithm (L Török & Á Zarándy)Statistical Error Modeling of CNN-UM Architectures: The Grayscale Case (P Földesy)MEMS, Microsystems and Nanosystems (M E Zaghloul)Texture Segmentation by the 64x64 CNN Chip (T Szirányi)Teaching CNN and Learning by Using CNN (P Arena et al.)Novel Methods and Results in Training Universal Multi-Nested Neurons (R Dogaru et al.)Test-Bed Board for 16x64 Stereo Vision CNN Chip (M Salerno et al.)and other papers Readership: Graduate students, researchers, lecturers and industrialists. Keywords:

Advances in Neural Networks     ISNN 2019 Book

Advances in Neural Networks ISNN 2019


  • Author : Huchuan Lu
  • Publisher : Springer
  • Release Date : 2019-06-26
  • Genre: Computers
  • Pages : 615
  • ISBN 10 : 9783030228088

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Advances in Neural Networks ISNN 2019 Excerpt :

This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.

Computer Information Systems and Industrial Management Book
Score: 5
From 1 Ratings

Computer Information Systems and Industrial Management


  • Author : Khalid Saeed
  • Publisher : Springer
  • Release Date : 2016-09-08
  • Genre: Computers
  • Pages : 754
  • ISBN 10 : 9783319453781

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Computer Information Systems and Industrial Management Excerpt :

This book constitutes the proceedings of the 15th IFIP TC8 International Conference on Computer Information Systems and Industrial Management, CISIM 2016, held in Vilnius, Lithuania, in September 2016. The 63 regular papers presented together with 1 inivted paper and 5 keynotes in this volume were carefully reviewed and selected from about 89 submissions. The main topics covered are rough set methods for big data analytics; images, visualization, classification; optimization, tuning; scheduling in manufacturing and other applications; algorithms; decisions; intelligent distributed systems; and biometrics, identification, security.

State of the Art in Neural Networks and Their Applications Book

State of the Art in Neural Networks and Their Applications


  • Author : Jasjit S. Suri
  • Publisher : Academic Press
  • Release Date : 2023-01-15
  • Genre: Science
  • Pages : 432
  • ISBN 10 : 0128198729

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State of the Art in Neural Networks and Their Applications Excerpt :

State of the Art in Neural Networks and Their Applications, Volume 2 presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book covers provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence, and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume 1: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume 2: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alheimer's disease, attention deficit hyperactivity disorder, hypertension, and other diseases. Written by experienced engineers in the field, these two volumes will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks. Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of oncology imaging technologies Provides in-depth technical coverage of computer-aided diagnosis (CAD) including coverage of computer-aided classification, unified deep learning frameworks, 3D MRI, PET/CT, and more Covers deep learning cancer identification from histopathological images, medical image analysis, and detection, segmentation, and classification via AI

Complex Valued Neural Networks with Multi Valued Neurons Book
Score: 5
From 1 Ratings

Complex Valued Neural Networks with Multi Valued Neurons


  • Author : Igor Aizenberg
  • Publisher : Springer
  • Release Date : 2011-06-24
  • Genre: Technology & Engineering
  • Pages : 262
  • ISBN 10 : 9783642203534

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Complex Valued Neural Networks with Multi Valued Neurons Excerpt :

Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book is devoted to the Multi-Valued Neuron (MVN) and MVN-based neural networks. It contains a comprehensive observation of MVN theory, its learning, and applications. MVN is a complex-valued neuron whose inputs and output are located on the unit circle. Its activation function is a function only of argument (phase) of the weighted sum. MVN derivative-free learning is based on the error-correction rule. A single MVN can learn those input/output mappings that are non-linearly separable in the real domain. Such classical non-linearly separable problems as XOR and Parity n are the simplest that can be learned by a single MVN. Another important advantage of MVN is a proper treatment of the phase information. These properties of MVN become even more remarkable when this neuron is used as a basic one in neural networks. The Multilayer Neural Network based on Multi-Valued Neurons (MLMVN) is an MVN-based feedforward neural network. Its backpropagation learning algorithm is derivative-free and based on the error-correction rule. It does not suffer from the local minima phenomenon. MLMVN outperforms many other machine learning techniques in terms of learning speed, network complexity and generalization capability when solving both benchmark and real-world classification and prediction problems. Another interesting application of MVN is its use as a basic neuron in multi-state associative memories. The book is addressed to those readers who develop theoretical fundamentals of neural networks and use neural networks for solving various real-world problems. It should also be very suitable for Ph.D. and graduate students pursuing their degrees in computational intelligence.

Computational Intelligence and Its Applications Book

Computational Intelligence and Its Applications


  • Author : H K Lam
  • Publisher : World Scientific
  • Release Date : 2012-07-17
  • Genre: Computers
  • Pages : 320
  • ISBN 10 : 9781908977076

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Computational Intelligence and Its Applications Excerpt :

This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for better treatment of different applications, and simulation and experimental results are included to illustrate the design procedure and the effectiveness of the approaches. Sample Chapter(s) Chapter 1: Maximal Margin Algorithms for Pose Estimation (658 KB) Contents:Evolutionary Computation and Its Applications:Maximal Margin Algorithms for Pose Estimation (Ying Guo and Jiaming Li)Polynomial Modeling in a Dynamic Environment Based on a Particle Swarm Optimization (Kit Yan Chan and Tharam S Dillon)Restoration of Half-toned Color-quantized Images Using Particle Swarm Optimization with Multi-wavelet Mutation (Frank H F Leung, Benny C W Yeung and Y H Chan)Fuzzy Logics and Their Applications:Hypoglycemia Detection for Insulin-dependent Diabetes Mellitus: Evolved Fuzzy Inference System Approach (S H Ling, P P San and H T Nguyen)Neural Networks and Their Applications:Study of Limit Cycle Behavior of Weights of Perceptron (C Y F Ho and B W K Ling)Artificial Neural Network Modeling with Application to Nonlinear Dynamics (Yi Zhao)Solving Eigen-problems of Matrices by Neural Networks (Yiguang Liu, Zhisheng You, Bingbing Liu and Jiliu Zhou)Automated Screw Insertion Monitoring Using Neural Networks: A Computational Intelligence Approach to Assembly in Manufacturing (Bruno Lara, Lakmal D Seneviratne and Kaspar Althoe

Artificial Neural Networks  Formal Models and Their Applications     ICANN 2005 Book

Artificial Neural Networks Formal Models and Their Applications ICANN 2005


  • Author : Wlodzislaw Duch
  • Publisher : Springer Science & Business Media
  • Release Date : 2005-08-31
  • Genre: Computers
  • Pages : 1045
  • ISBN 10 : 9783540287551

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Artificial Neural Networks Formal Models and Their Applications ICANN 2005 Excerpt :

The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation.