找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復制鏈接]
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
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-16 02:45
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
神池县| 阳城县| 南郑县| 九寨沟县| 收藏| 鹤峰县| 隆子县| 如皋市| 大名县| 革吉县| 庆元县| 隆尧县| 彝良县| 星子县| 易门县| 大悟县| 房山区| 泸水县| 长白| 桐柏县| 军事| 扶绥县| 洪湖市| 阜康市| 莱西市| 乡城县| 高尔夫| 大化| 阳谷县| 陕西省| 淮南市| 增城市| 铜鼓县| 大悟县| 南乐县| 子洲县| 图片| 迭部县| 义乌市| 嘉祥县| 壤塘县|