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Reconfigurable Cellular Neural Networks and Their Applications

to the cellular neural network (CNN) and formulates it to match the behavior of the Wilson-Cowan model. In turn, two properties that are;

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Handbook on Neural Information Processing

applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks;

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Cellular Neural Networks, Multi-scroll Chaos And Synchronization

. Cellular neural networks and their universal machine implementations offer a well-established platform for processing spatial-temporal patterns and;

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Neural Network Analysis, Architectures and Applications

simplifying networks. It then describes novel architectures and algorithms, including pulse-stream techniques, cellular neural networks, and;

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Artificial Neural Networks for Engineering Applications

, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular;

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Cellular Neural Networks

Cellular Neural Networks (CNN's) were introduced in 1988 by L O Chua and L Yang as a novel class of information processing systems, which;

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Fuzzy Neural Intelligent Systems

networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing;

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Complex-valued Neural Networks

Recent research indicates that complex-valued neural networks whose parameters (weights and threshold values) are all complex numbers are;

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Complex-Valued Neural Networks

This book covers the hot topics and applications surrounding complex-valued neural networks. It demonstrates advanced theories with a wide;

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Sensory Neural Networks

behavior, their relation to recent activity in neural networks and connectionist systems, their use for image processing applications, and their;

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Revival: Sensory Neural Networks (1991)

behavior, their relation to recent activity in neural networks and connectionist systems, their use for image processing applications, and their;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Recent Advances in Artificial Neural Networks

collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural;

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Deep Neural Networks and Applications

Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related;

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State of the Art in Neural Networks and Their Applications

State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their;

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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for;

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Type 2 Fuzzy Neural Networks and Their Applications

, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students;

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Engineering Applications of Neural Networks

machine, machine learning applications, predictive models, fuzzy and recommender systems, recurrent neural networks, spiking neural networks.;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic;

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Applications of Artificial Neural Networks for Nonlinear Data

of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions;

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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Clinical Applications of Artificial Neural Networks

Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad;

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Clinical Applications of Artificial Neural Networks

Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad;

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Mobile Data Mining and Applications

of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to;

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Principles Of Artificial Neural Networks

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence;

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