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Titlebook: Neural Networks in Optimization; Xiang-Sun Zhang Book 2000 Springer Science+Business Media Dordrecht 2000 Mathematica.Optimization Theory.

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41#
發(fā)表于 2025-3-28 17:07:52 | 只看該作者
Feedforward Neural Networkseuron with the connection weights adaptively adjusted according to an learning algorithm — the LMS algorithm. Adaline was designed by Widrow and Hoff ([311], [314]) as a pattern classification machine. The weight adjustment can be done by an external computer or a special analog or digital processor.
42#
發(fā)表于 2025-3-28 19:54:29 | 只看該作者
43#
發(fā)表于 2025-3-29 01:32:09 | 只看該作者
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發(fā)表于 2025-3-29 03:41:08 | 只看該作者
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發(fā)表于 2025-3-29 07:43:30 | 只看該作者
46#
發(fā)表于 2025-3-29 13:37:50 | 只看該作者
https://doi.org/10.1007/978-1-4757-3167-5Mathematica; Optimization Theory; algorithms; combinatorial optimization; linear optimization; network; ne
47#
發(fā)表于 2025-3-29 19:06:45 | 只看該作者
Algorithms for Constrained Nonlinear ProgrammingIn this chapter we will introduce the penalty-type methods and the trust-region methods which have played an important role in the neural network research.
48#
發(fā)表于 2025-3-29 21:50:01 | 只看該作者
49#
發(fā)表于 2025-3-30 02:18:48 | 只看該作者
NN Models for General Nonlinear ProgrammingA general nonlinear programming problem is formulated as:.where Ω is a subset of ?. or simply Ω = ?.. When function .(.), .(.) do not appear in Eq. (11.1), we call it a general unconstrained nonlinear programming problem:.We call a neural network designed as a solver of general nonlinear programming problems a NP net.
50#
發(fā)表于 2025-3-30 04:04:25 | 只看該作者
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