| 期刊全称 | Artificial Organic Networks | | 期刊简称 | Artificial Intellige | | 影响因子2023 | Hiram Ponce-Espinosa,Pedro Ponce-Cruz,Arturo Molin | | 视频video | | | 发行地址 | Clear explanation of the algorithms described in flow diagrams and code.Demonstrates the new artificial network topologies described through experimental example.Discusses practical applications of th | | 学科分类 | Studies in Computational Intelligence | | 图书封面 |  | | 影响因子 | .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 LabVIEW™ toolkit, downloadable from the boo | | Pindex | Book 2014 |
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发表于 2025-3-21 19:04:20
