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Artificial Neural Networks in Biological and Environmental Analysis

environmental processes. Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the;

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Artificial Neural Networks in Biological and Environmental Analysis

environmental processes. Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the;

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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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Network Models for Control and Processing

of biological experimentation, and representation of artificial neural networks (ANNs) Within the fields mentioned, the topics discussed include;

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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

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

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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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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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Neurocomputing Research Developments

Neurocomputing is at the centre of multidisciplinary research, which involves computations by biological neural networks and those by;

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Progress in Neurocomputing Research

Neurocomputing is at the centre of multidisciplinary research , which involves computations by biological neural networks and those by;

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Artificial Neural Networks - ICANN 2009

and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing;

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Designs and Applied Principles of Artificial Neural Networks

, and the analysis of artificial neural networks; and the application aspect dealing with applications of artificial neural networks in a broad;

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Applied Neural Networks and Soft Computing

every aspect to give readers a wider perspective. Further, artificial neural networks (vaguely inspired by biological neural network) are also;

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Recent Progress in Artificial Neural Networks

Artificial neural networks (ANNs) are computing systems that are motivated by the design and functioning of biological neural networks. Its;

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Artificial Neural Networks and Machine Learning - ICANN 2017

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks;

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Artificial Neural Networks and Machine Learning - ICANN 2017

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks;

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Neural Networks for Complete Beginners

learn the relationship between the neurons which make up the human brain and the artificial neurons. Artificial neural networks embrace the;

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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

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Artificial Neural Networks

-layered learning network based on simple math rules. The structure of an artificial neural network consists of an input layer, an output layer and;

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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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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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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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Statistical Learning Using Neural Networks

in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.;

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Statistical Learning Using Neural Networks

in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.;

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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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Complex-valued Neural Networks

neural devices and systems, spatiotemporal analysis of physiological neural systems, and artificial neural information processing. In this first;

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