Artificial Organic Networks: Artificial Intelligence Based on Carbon Networks by Hiram Ponce-espinosaArtificial Organic Networks: Artificial Intelligence Based on Carbon Networks by Hiram Ponce-espinosa

Artificial Organic Networks: Artificial Intelligence Based on Carbon Networks

byHiram Ponce-espinosa, Pedro Ponce-Cruz, Arturo Molina

Book & Toy | November 29, 2013

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This monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and then, via some conventional ideas of organic chemistry, to the creation and characterization of artificial organic networks and AHNs in particular.

The advantages of using organic networks are discussed with the rules to be followed to adapt the network to its objectives. Graph theory is used as the basis of the necessary formalism. Simulated and experimental examples of the use of fuzzy logic and genetic algorithms with organic neural networks are presented and a number of modeling problems suitable for treatment by AHNs are described:

·        approximation;

·        inference;

·        clustering;

·        control;

·        classification; and

·        audio-signal filtering.

The text finishes with a consideration of directions in which AHNs could be implemented and developed in future. A complete LabVIEWT toolkit, downloadable from the book's page at springer.com enables readers to design and implement organic neural networks of their own.

The novel approach to creating networks suitable for machine learning systems demonstrated in Artificial Organic Networks will be of interest to academic researchers and graduate students working in areas associated with computational intelligence, intelligent control, systems approximation and complex networks.

Professor Dr. Arturo Molina is Rector of Mexico City Metropolitan Area of Tecnologico de Monterrey. Former General Director of Campus Ciudad de Mexico, Vice president of Research and Technological Development, and Dean of the School of Engineering and Architecture of  Campus Monterrey. He was  a visiting professor at UC Berkeley at Mec...
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Title:Artificial Organic Networks: Artificial Intelligence Based on Carbon NetworksFormat:Book & ToyDimensions:228 pages, 23.5 × 15.5 × 0.02 inPublished:November 29, 2013Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:331902471X

ISBN - 13:9783319024714

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Table of Contents

Introduction to Modeling Problems.- Chemical Organic Compounds.- Artificial Organic Networks.- Artificial Hydrocarbon Networks.- Enhancements of Artificial Hydrocarbon Networks.- Notes on Modeling Problems Using Artificial Hydrocarbon Networks.- Applications of Artificial Hydrocarbon Networks.-Appendices.