saturated-fat
发表于 2025-3-30 11:34:27
Comparing Performances of Cuckoo Search Based Neural Networks,st additions to the group of nature inspired optimization heuristics. In this paper, Cuckoo Search (CS) is implemented in conjunction with Back propagation Neural Network (BPNN), Recurrent Neural Network (RNN), and Levenberg Marquardt back propagation (LMBP) algorithms to achieve faster convergence
阻塞
发表于 2025-3-30 13:20:53
CSLMEN: A New Cuckoo Search Levenberg Marquardt Elman Network for Data Classification,be trained with gradient descent back propagation and optimization technique such as second-order methods. Levenberg-Marquardt has been used for networks training but still this algorithm is not definite to find the global minima of the error function. Nature inspired meta-heuristic algorithms provi
法官
发表于 2025-3-30 19:25:05
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Costume
发表于 2025-3-30 21:50:37
Fuzzy Modified Great Deluge Algorithm for Attribute Reduction,d as the process of finding minimal subset of attributes from an original set with minimum loss of information. Rough set theory has been used for attribute reduction with much success. However, the reduction method inside rough set theory is applicable only to small datasets, since finding all poss
贵族
发表于 2025-3-31 02:11:21
Conference proceedings 2014 Tun Hussein Onn Malaysia, in June 16.th.-18.th., 2014. The 65 revised full papers presented in this book were carefully reviewed and selected from 145 submissions, and organized into two main topical sections; Data Mining and Soft Computing. The goal of this book is to provide both theoretical conc
澄清
发表于 2025-3-31 06:22:10
A Legendre Approximation for Solving a Fuzzy Fractional Drug Transduction Model into the Bloodstreaerature. In this research, we are confined with the application of Legendre operational matrix for solving fuzzy fractional differential equation arising in the drug delivery model into the bloodstream. The results illustrates the effectiveness of the method which can be in high agreement with the exact solution.
Indict
发表于 2025-3-31 12:52:46
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琐事
发表于 2025-3-31 15:16:05
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resilience
发表于 2025-3-31 19:24:09
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forebear
发表于 2025-4-1 00:57:18
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