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Titlebook: Artificial Organic Networks; Artificial Intellige Hiram Ponce-Espinosa,Pedro Ponce-Cruz,Arturo Molin Book 2014 Springer International Publi

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發(fā)表于 2025-3-21 19:04:20 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Organic Networks
期刊簡稱Artificial Intellige
影響因子2023Hiram Ponce-Espinosa,Pedro Ponce-Cruz,Arturo Molin
視頻videohttp://file.papertrans.cn/163/162711/162711.mp4
發(fā)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
學(xué)科分類Studies in Computational Intelligence
圖書封面Titlebook: Artificial Organic Networks; Artificial Intellige Hiram Ponce-Espinosa,Pedro Ponce-Cruz,Arturo Molin Book 2014 Springer International Publi
影響因子.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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Fibrinklebung in der Otorhinolaryngologieon modeling univariate and multivariate systems, and designing linear and nonlinear classifiers using the AHN-algorithm. In addition, few inference and clustering applications are described. Finally, a review of the most important characteristics on artificial hydrocarbon networks in real-world appl
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發(fā)表于 2025-3-22 00:23:40 | 只看該作者
https://doi.org/10.1007/978-3-642-77395-2 controlling tasks, as described in previous chapters. Precisely, .-molecules in their structures allow to capture and to cluster information about systems that can be exploited to solve engineering problems. In that sense, artificial hydrocarbon networks can be applied successfully in many real-wor
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978-3-319-37800-8Springer International Publishing Switzerland 2014
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https://doi.org/10.1007/978-3-642-77395-2Hydrocarbons, chemical organic compounds based on hydrogen and carbon atoms, are the most stable compounds in nature.
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發(fā)表于 2025-3-23 08:54:31 | 只看該作者
Introduction to Modeling Problems,Computational algorithms for modeling problems are widely used in real world applications, such as: predicting behaviors in systems, describing of systems, or finding patterns on unknown and uncertain data.
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