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Recent Advances in Artificial Neural Networks

of neural network paradigms, however, the newest of these have not appeared in book form-until now. Recent Advances in Artificial Neural Networks;

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Advances in Neural Network Research and Applications

present the state-of-the-art research in neural networks and related fields, and also discuss the major opportunities and challenges of future;

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Recent Advances in Artificial Neural Networks

* Provides up-to-date coverage of neural network paradigms and applications* Presents the work of internationally renowned experts;

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Neural Information Processing

submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing;

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World Congress on Neural Networks

Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its;

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Nonlinear Economic Models Crosssectional, Time Series and Neural Network Applications

of exchange rate dynamics and jump processes, and artificial neural network and genetic algorithm models of financial markets. Attention is given to;

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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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Proceedings of the 1995 World Congress on Neural Networks

Centered around major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its;

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Introduction to the Theory of Neural Computation

coverage of neural network applications in a variety of problems of both theoretical and practical interest.;

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Introduction to the Theory of Neural Computation

coverage of neural network applications in a variety of problems of both theoretical and practical interest.;

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Advances in Big Data

new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature;

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Intelligent System Applications In Power Engineering

This text on evolutionary computation presents an account of neural network and evolutionary programming applications as optimization;

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Statistical Learning Using Neural Networks

Results. This book is suitable for both teaching and research. It introduces neural networks and is a guide for outsiders of academia working;

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Statistical Learning Using Neural Networks

Results. This book is suitable for both teaching and research. It introduces neural networks and is a guide for outsiders of academia working;

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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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Advances in Neural Network Research

in the field, even as neural network conferences have proliferated and specialized. As the number of conferences has grown, its strongest;

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Building Neural Networks

network applications, the book demonstrates the construction and operation of artificial neural systems. Through numerous examples, the author;

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Artificial Neural Networks with Java

edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps;

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Focus on Artificial Neural Networks

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include;

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Advances in Applications of Data Driven Computing

modelling. As such, computational neural networks algorithms can be refined to address problems in data-driven applications. Original research and;

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Artificial Neural Networks with Java

will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the;

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Artificial Neural Networks with Java

will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the;

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Advances in Neural Networks - ISNN 2016

cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks;

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Neural Information Processing

processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory;

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Neural Information Processing

processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory;

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Neural Network Analysis, Architectures and Applications

Neural Network Analysis, Architectures and Applications discusses the main areas of neural networks, with each authoritative chapter;

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Advances in Neural Networks ISNN 2015

cover many topics of neural network-related research including intelligent control, neurodynamic analysis, memristive neurodynamics, computer;

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