Artificial Organic Networks.pdf

Artificial Organic Networks

Hiram Ponce-Espinosa

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

Artificial Organic Networks Abstract: This paper introduces a novel artificial intelligence technique bio-inspired on organic chemistry: Artificial Organic Networks (AON). In fact, organic compounds present several characteristics as stability, well-formed molecules, and easily-spanning.

6.93 MB DATEIGRÖSSE
331902471X ISBN
Englisch SPRACHE
Artificial Organic Networks.pdf

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Sofia Voigt

Artificial Organic Networks Artificial Intelligence Based on Carbon Networks by Hiram Ponce-Espinosa; Pedro Ponce-Cruz; Arturo Molina and Publisher Springer. Save up to 80% by choosing the eTextbook option for ISBN: 9783319024721, 3319024728. The print version of this textbook is ISBN: 9783319024714, 331902471X.

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Matteo Müller

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. Neural Networks for the Prediction of Organic …

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Noel Schulze

Artificial Organic Networks | SpringerLink 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.

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Jason Lehmann

Artificial hydrocarbon networks. Artificial hydrocarbon networks (AHN) is a nature -inspired learning algorithm based on the artificial organic networks framework. In ...

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Jessica Kohmann

Artificial organic networks - Tec