Nature Inspired Methods In Chemometrics Genetic Algorithms And Artificial Neural Networks

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Author: Riccardo Leardi
Publisher: Elsevier
ISBN: 9780080522623
Size: 27.90 MB
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Nature Inspired Methods In Chemometrics Genetic Algorithms And Artificial Neural Networks by Riccardo Leardi


Original Title: Nature Inspired Methods In Chemometrics Genetic Algorithms And Artificial Neural Networks

In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sections (GA and ANN). In each part, tutorial chapters are included in which the theoretical bases of each technique are expertly (but simply) described. These are followed by application chapters in which special emphasis will be given to the advantages of the application of GA or ANN to that specific problem, compared to classical techniques, and to the risks connected with its misuse. This book is of use to all those who are using or are interested in GA and ANN. Beginners can focus their attentions on the tutorials, whilst the most advanced readers will be more interested in looking at the applications of the techniques. It is also suitable as a reference book for students. Subject matter is steadily increasing in importance Comparison of Genetic Algorithms (GA) and Artificial Neural Networks (ANN) with the classical techniques Suitable for both beginners and advanced researchers

Scientific Data Ranking Methods

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Author:
Publisher: Elsevier
ISBN: 9780080931937
Size: 24.69 MB
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Scientific Data Ranking Methods by


Original Title: Scientific Data Ranking Methods

This volume presents the basic mathematics of ranking methods through a didactic approach and the integration of relevant applications. Ranking methods can be applied in several different fields, including decision support, toxicology, environmental problems, proteomics and genomics, analytical chemistry, food chemistry, and QSAR. . Covers a wide range of applications, from the environment and toxicology to DNA sequencing . Incorporates contributions from renowned experts in the field . Meets the increasing demand for literature concerned with ranking methods and their applications

Genetic Algorithms In Molecular Modeling

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Author: James Devillers
Publisher: Elsevier
ISBN: 0122138104
Size: 41.26 MB
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Genetic Algorithms In Molecular Modeling by James Devillers


Original Title: Genetic Algorithms In Molecular Modeling

Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume marks the beginning of an ew series of books, Principles in Qsar and Drug Design, which will be an indispensible reference for students and professionals involved in medicinal chemistry, pharmacology, (eco)toxicology, and agrochemistry. Each comprehensive chapter is written by a distinguished researcher in the field. Through its up to the minute content, extensive bibliography, and essential information on software availability, this book leads the reader from the theoretical aspects to the practical applications. It enables the uninitiated reader to apply genetic algorithms for modeling the biological activities and properties of chemicals, and provides the trained scientist with the most up to date information on the topic. . Extremely topical and timely . Sets the foundations for the development of computer-aided tools for solving numerous problems in QSAR and drug design . Written to be accessible without prior direct experience in genetic algorithms

Qsar And Molecular Modeling Studies In Heterocyclic Drugs

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Author: Satya Prakash Gupta
Publisher: Springer Verlag
ISBN: 9783540332336
Size: 58.64 MB
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Qsar And Molecular Modeling Studies In Heterocyclic Drugs by Satya Prakash Gupta


Original Title: Qsar And Molecular Modeling Studies In Heterocyclic Drugs

This book presents the chapters - QSAR and Molecular Modeling Studies of Factor Xa and Thrombin Inhibitors; Structural Information and Drug-Enzyme Interaction of the Non-Nucleoside Reverse Transcriptase Inhibitors Based on Computational Chemistry Approach

Computational And Ambient Intelligence

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Author: Francisco Sandoval
Publisher: Springer
ISBN: 3540730079
Size: 18.71 MB
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Computational And Ambient Intelligence by Francisco Sandoval


Original Title: Computational And Ambient Intelligence

This book constitutes the refereed proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, held in San Sebastián, Spain in June 2007. Coverage includes theoretical concepts and neurocomputational formulations, evolutionary and genetic algorithms, data analysis, signal processing, robotics and planning motor control, as well as neural networks and other machine learning methods in cancer research.

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