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: Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks; Fevrier Valdez,Juan Barraza,Patricia Meli

[復(fù)制鏈接]
樓主: concession
11#
發(fā)表于 2025-3-23 10:48:01 | 只看該作者
Fevrier Valdez,Juan Barraza,Patricia MelinFocuses on the fields of artificial neural network, swarm optimization algorithms, and clustering problems.Describes a hybrid method with three different techniques of Intelligence Computation.Covers
12#
發(fā)表于 2025-3-23 17:47:49 | 只看該作者
13#
發(fā)表于 2025-3-23 19:43:39 | 只看該作者
14#
發(fā)表于 2025-3-24 00:12:11 | 只看該作者
15#
發(fā)表于 2025-3-24 05:58:40 | 只看該作者
Basic Concepts of Neural Networks and Fuzzy Logic,In this chapter, we describe the basic concepts and techniques of computer science, which are crucial to the development of this book.
16#
發(fā)表于 2025-3-24 06:58:01 | 只看該作者
Hybrid Method Between Fireworks Algorithm and Competitive Neural Network,The main goal of this book is to develop a hybrid method of competitive learning using Fireworks Algorithm and a Competitive Neural Network.
17#
發(fā)表于 2025-3-24 14:38:18 | 只看該作者
Simulation Studies of the Hybrid of Fuzzy Fireworks and Competitive Neural Networks,In this chapter we present results obtained throughout of this book. The results are partitioned by methods, that is to say, firstly, the results of the optimization methods are presented, and secondly, the results of the classification methods with fuzzy classifiers are shown.
18#
發(fā)表于 2025-3-24 15:24:47 | 只看該作者
,Conclusions?to the?Hybrid Method Between Fireworks Algorithm and Competitive Neural Network,ection, FWA adaptation (FWAC, FFWAC and F2FWAC) as a method for optimizing the optimal number of clusters based on the number of centroids for clustering problems is presented; and, Type 1 (T1FIS) and Interval Type 2 Fuzzy Inference Systems (IT2FIS) joined a Competitive Neural Network for classification problems, in the second section.
19#
發(fā)表于 2025-3-24 21:00:47 | 只看該作者
2191-530X ree different techniques of Intelligence Computation.Covers .This book focuses on the fields of neural networks, swarm optimization algorithms, clustering and fuzzy logic. This book describes a hybrid method with three different techniques of intelligence computation: neural networks, optimization a
20#
發(fā)表于 2025-3-25 00:47:57 | 只看該作者
Book 2023th three different techniques of intelligence computation: neural networks, optimization algorithms and fuzzy logic.??Within the neural network techniques, competitive neural networks (CNNs) are used, for the optimization algorithms technique, we used the fireworks algorithm (FWA), and in the area o
 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(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 23:59
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(fù) 返回頂部 返回列表
新宾| 商洛市| 长阳| 临漳县| 东兴市| 营口市| 伊春市| 集贤县| 宜君县| 凤山市| 三门峡市| 临江市| 澄江县| 长兴县| 墨脱县| 文成县| 淳化县| 湖州市| 根河市| 十堰市| 惠来县| 科尔| 合作市| 绥化市| 信阳市| 平凉市| 锡林郭勒盟| 锦屏县| 准格尔旗| 五寨县| 苏州市| 涟源市| 道孚县| 工布江达县| 宣恩县| 清涧县| 青铜峡市| 阳城县| 遵化市| 三门峡市| 闻喜县|