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Parallel Architectures for Artificial Neural Networks

aspects of parallel implementation for all major artificial neural network models. The book details implementations on varoius processor;

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Introduction to Neural Networks for Java, Second Edition

"Introduction to Neural Networks for Java" introduces the Java programmer to the world of Neural Networks and Artificial Intelligence;

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Designs and Applied Principles of Artificial Neural Networks

of applications. The aim of this book is to present current developments of architectures, methodologies, and usage of artificial neural networks. The;

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Artificial Intelligence in the Age of Neural Networks and Brain Computing

applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel;

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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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Neural Networks for Optimization and Signal Processing

A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but;

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Hybrid Architectures for Intelligent Systems

Systems is an important reference for computer scientists and electrical engineers involved with artificial intelligence, neural networks;

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Artificial Neural Networks

applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are;

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Artificial Neural Network Applications for Software Reliability Prediction

This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction;

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New Developments In Artificial Neural Networks Research

in chromatography and spectroscopy; heterogeneous neural networks and tuning differential evolution for artificial neural networks.;

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Artificial Neural Networks in Pattern Recognition

This book constitutes the refereed proceedings of the 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern;

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Focus on Artificial Neural Networks

of pharamceutical microemulsions; massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images;

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Neural Networks for Complete Beginners

. The back-propagation algorithm, which is used for training artificial neural networks, is discussed. The book also guides you through the;

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Neural Networks for Robotics

implement a wide range of artificial neural network architectures. Includes real-time examples for various robotic platforms;

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Neural Networks for Robotics

implement a wide range of artificial neural network architectures. Includes real-time examples for various robotic platforms. Discusses real-time;

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Artificial Neural Networks in Pattern Recognition

This book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern;

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Learning and Categorization in Modular Neural Networks

This book introduces a new neural network model called CALM, for categorization and learning in neural networks. The author demonstrates;

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Artificial Neural Networks in Finance and Manufacturing

look for superior solutions to boost profitability and productivity. In recent times, artificial neural networks have demonstrated promising;

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Principles Of Artificial Neural Networks (2nd Edition)

major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches;

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Principles Of Artificial Neural Networks

course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers;

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Algorithms and Architectures

This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network;

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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault;

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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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Parallel Processing And Applied Mathematics

carefully reviewed and selected from numerous submissions. The papers address issues such as parallel/distributed architectures and mobile computing;

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Parallel Processing and Applied Mathematics

carefully reviewed and selected from numerous submissions. The papers address issues such as parallel/distributed architectures and mobile computing;

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New Developments in Computer Networks

cluster; fuzzy-based controller for improvement of network performance; multi-layer perceptron artificial neural network; fault detection and;

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Computational Architectures Integrating Neural and Symbolic Processes

Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art focuses on a currently;

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