Télécharger le livre :  Deep Neural Evolution
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
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Télécharger le livre :  Evolutionary Approach to Machine Learning and Deep Neural Networks
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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Télécharger le livre :  Evolutionary Computation in Gene Regulatory Network Research
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 : 2016-01-21
Collection : Wiley Series in Bioinformatics PDF, ePub

145,17

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Télécharger le livre :  Adaptive Learning of Polynomial Networks
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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