Télécharger le livre :  Deep Neural Evolution
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This book delivers the state of the art in deep learning (DL) methods hybridized with evolutionary computation (EC). Over the last decade, DL has dramatically reformed many domains: computer vision, speech recognition, healthcare, and automatic game playing, to mention...

Editeur : Springer
Parution : 2020-05-20
Collection : Natural Computing Series
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200,44
Télécharger le livre :  Evolutionary Approach to Machine Learning and Deep Neural Networks
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This book provides theoretical and practical knowledge about a methodology for evolutionary algorithm-based search strategy with the integration of several machine learning and deep learning techniques. These include convolutional neural networks, Gröbner bases,...

Editeur : Springer
Parution : 2018-06-15

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147,69
Télécharger le livre :  Evolutionary Computation in Gene Regulatory Network Research
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Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using...

Editeur : Wiley
Parution : 2016-01-20
Collection : Wiley Series in Bioinformatics
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144,48
Télécharger le livre :  Adaptive Learning of Polynomial Networks
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This book provides theoretical and practical knowledge for develop­ ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod­ els from data. The design of such tools contributes to better...

Editeur : Springer
Parution : 2006-08-18

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147,69