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Optimality in Biological and Artificial Networks?

lack of it, in biological or artificial systems. The next set of chapters deals with some general mathematical and computational theories that;

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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 in Biological and Environmental Analysis

, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and;

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Artificial Neural Networks in Biological and Environmental Analysis

, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, 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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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

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

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Organic Computing

, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering;

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Organic Computing

, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering;

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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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Artificial Neural Networks

were achieved in the past. This new and important book gathers the most current research from across the globe in the study of artificial;

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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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The Self-Assembling Brain

contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy;

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The Self-Assembling Brain

contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy;

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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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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 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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Modeling Biomolecular Networks in Cells

modelled mathematically and the models used to create artificial biological entities within cells. Such forward engineering is a difficult task but;

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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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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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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 Computer Networks

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

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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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Analysis of Biological Networks

An introduction to biological networks and methods for their analysis Analysis of Biological Networks is the first book of its kind to;

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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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