CREEK 发表于 2025-3-23 11:56:17
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Heribert Schmitz learning algorithm and genetic optimization. We distinguish between two types of the fuzzy rule-based FNN structures showing how this taxonomy depends upon the type of a fuzzy partition of input variables. As to the consequence part of the gHFNN, the development of the PNN dwells on two general optincite 发表于 2025-3-23 21:42:44
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Heribert SchmitzIn addition, multiphysics problems involving coupled analysis examples are presented to further illustrate the broad applicability of the finite element method for a variety of engineering disciplines...The book is primarily targeted toward undergraduate students majoring in civil, biomedical, mechaGIBE 发表于 2025-3-24 02:56:06
fluids.Clearly written, simple to understand, written for students to absorb material quickly.Discusses non-Newtonian as well as Newtonian fluids.Covers the entire field concisely.Solutions manual with worked examples and solutions provided.978-1-4899-7715-1978-1-4899-7454-9Synapse 发表于 2025-3-24 07:49:09
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Heribert Schmitzptimized multilayer perceptron with polynomial neurons (PNs) or fuzzy polynomial neurons (FPNs), develop a comprehensive design methodology involving mechanisms of genetic optimization and carry out a series of numeric experiments. The conventional SONN is based on a self-organizing and an evolution勉励 发表于 2025-3-24 16:39:09
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Heribert Schmitznalysts for a variety of industries. This book provides an introductory treatment of finite element analysis with an overview of the various fundamental concepts and applications. It introduces the basic concepts of the finite element method and examples of analysis using systematic methodologies bainstulate 发表于 2025-3-25 00:38:54
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