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Titlebook: Computational Intelligence for Water and Environmental Sciences; Omid Bozorg-Haddad,Babak Zolghadr-Asli Book 2022 The Editor(s) (if applic

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樓主: retort
41#
發(fā)表于 2025-3-28 18:24:33 | 只看該作者
Application of Artificial Neural Network and Fuzzy Logic in the Urban Water Distribution Networks Pient and statistical models, includes Radial Based Function Neural Network (RBFNN), Adaptive Neuro Fuzzy Inference System (ANFIS), Feedforward Neural Network (FFNN), Linear Regression (LR), Generalized Linear Regression (GLR), and Support Vector Regression (SVR). An example of a real urban water dist
42#
發(fā)表于 2025-3-28 20:55:58 | 只看該作者
Parallel Chaos Search Based Incremental Extreme Learning Machine Based Empirical Wavelet Transform: t mean square error (RMSE), and the mean absolute error (MAE). Comparison between simple and hybrid models reveals the importance of the signal decomposition in improving the models performances and also it was demonstrated that the models performances decreased by the increase of the forecasting ti
43#
發(fā)表于 2025-3-29 01:34:19 | 只看該作者
44#
發(fā)表于 2025-3-29 03:43:20 | 只看該作者
45#
發(fā)表于 2025-3-29 09:13:37 | 只看該作者
Strategic delegation in the trade union, introduced as well. Additionally, the Antlion Optimization (ALO) algorithm is represented as a single objective algorithm of the Ant family. Finally, a Multi-objective Antlion Optimization (MOALO) algorithm and its pseudo code are suggested to put forward the implementation of this algorithm.
46#
發(fā)表于 2025-3-29 13:38:46 | 只看該作者
47#
發(fā)表于 2025-3-29 18:03:57 | 只看該作者
Ant Colony Optimization Algorithms: Introductory Steps to Understanding introduced as well. Additionally, the Antlion Optimization (ALO) algorithm is represented as a single objective algorithm of the Ant family. Finally, a Multi-objective Antlion Optimization (MOALO) algorithm and its pseudo code are suggested to put forward the implementation of this algorithm.
48#
發(fā)表于 2025-3-29 22:54:47 | 只看該作者
Genetic Programming (GP): An Introduction and Practical Applicationcedure, and the computational steps of GP algorithm are detailed. Moreover, several main steps of problem-solving in GP process explained. Finally, a pseudo code of GP algorithm is also stated to demonstrate the implementation of this technique.
49#
發(fā)表于 2025-3-30 00:41:23 | 只看該作者
50#
發(fā)表于 2025-3-30 05:12:09 | 只看該作者
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