诱导 发表于 2025-3-23 13:13:09

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CAPE 发表于 2025-3-23 17:34:52

Hybrid Least-Squares Regression Analysispter. Both bivariate regression model and multiple regression model are derived and developed. Two numerical examples are used to demonstrate the proposed method. In each example, hybrid regression equations and their reliability measures are calculated. Furthermore, hybrid least-squares regression

代替 发表于 2025-3-23 18:33:00

Linear Regression With Random Fuzzy Numbersoaches are discussed: The first one is an application of Zadeh’s extension principle to optimal classical estimators, but unfortunately they lose their optimality. The second one is the attempt to develop some kind of best linear estimates, but unfortunately fuzzy sets do not constitute a linear spa

Malleable 发表于 2025-3-24 01:15:20

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RALES 发表于 2025-3-24 02:54:00

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诽谤 发表于 2025-3-24 08:22:30

Fuzzy Genetic Algorithm Based Approach to Machine Learning Under Uncertaintyurposes. In this chapter, an approach for symbolic knowledge extraction from noisy raw process data using genetic algorithms is illustrated. The applicability of the developed system for fault diagnosis is shown on a hydrocarbon chlorination plant.

细丝 发表于 2025-3-24 14:35:06

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Inflammation 发表于 2025-3-24 14:57:02

Adaptive Fuzzy Systems With Sinusoidal Membership Functionsks and a fuzzy system with a singleton fuzzifier, a product inference, a centroid defuzzifter, and a sinusoidal membership function is discussed in this paper. Fuzzy basis function expansions of a multi-input and singal output (MISO) fuzzy systems are given in order to describe the input-output rela

枫树 发表于 2025-3-24 22:48:42

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暖昧关系 发表于 2025-3-25 03:14:38

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查看完整版本: Titlebook: Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approa; Bilal M. Ayyub,Madan M. Gupta Book 1