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Focus on Artificial Neural Networks

artificial neural networks in environmental sciences and chemical engineering; application of artificial neural networks in the development;

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Artificial Neural Network Modeling of Water & Wastewater Treatments Processes

the application of artificial neural networks for modelling of water and wastewater treatment processes.;

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Designs and Applied Principles of Artificial Neural Networks

This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural;

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New Developments In Artificial Neural Networks Research

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

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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 Networks

functional reorganization. Section 2 focuses on the application of artificial neural networks in forecasting and prediction, describing: sales;

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Neural Networks for Complete Beginners

This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;

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Evolutionary Algorithms and Neural Networks

This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At;

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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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Artificial Neural Network Applications for Software Reliability Prediction

development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction;

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Complex-valued Neural Networks

In recent years, complex-valued neural networks have widened the scope of application in optoelectronics, imaging, remote sensing, quantum;

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Artificial Neural Networks

This volume presents examples of how Artificial Neural Networks (ANNs) are applied in biological sciences and related areas. Chapters cover;

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Artificial Neural Networks

An artificial neural network (ANN) is a type of artificial intelligence technology which implements more complex data-analysis features;

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Artificial Neural Networks for Renewable Energy Systems and Real-World Applications

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex;

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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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Artificial Neural Networks

This tutorial text provides the reader with an understanding of artificial neural networks (ANNs), and their application, beginning with;

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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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Artificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;

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Artificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;

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Artificial Neural Networks

This current book provides new research on artificial neural networks (ANNs). Topics discussed include the application of ANNs in chemistry;

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Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management

The potential value of artificial neural networks (ANN) as a predictor of malignancy has begun to receive increased recognition. Research;

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New Developments in Computer Networks

of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;

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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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Evolutionary Machine Learning Techniques

. The book also covers applications of the improved artificial neural networks to solve classification, clustering, prediction and regression;

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Evolutionary Machine Learning Techniques

sine cosine algorithm. The book also covers applications of the improved artificial neural networks to solve classification, clustering;

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Parallel Architectures for Artificial Neural Networks

This excellent reference for all those involved in neural networks research and application presents, in a single text, the necessary;

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