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]
查看: 15832|回復(fù): 36
樓主
發(fā)表于 2025-3-21 16:54:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks
編輯Fevrier Valdez,Juan Barraza,Patricia Melin
視頻videohttp://file.papertrans.cn/431/430072/430072.mp4
概述Focuses 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
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks; Fevrier Valdez,Juan Barraza,Patricia Meli
描述.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 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 of fuzzy logic, the Type-1 Fuzzy Inference Systems (T1FIS) and the Interval Type-2 Fuzzy Inference Systems (IT2FIS) were used, with their variants of Mamdani and Sugeno type, respectively. FWA was adapted for data clustering with the goal to help of competitive neural network to find the optimal number of neurons. It is important to mention that two variants were applied to the FWA: dynamically adjust of parameters with Type-1 Fuzzy Logic (FFWA) as the first one and Interval Type-2 (F2FWA) as the second one. Subsequently, based on the outputs of the CNN and with the goal of classification data, we designed Type-1 and Interval Type-2 Fuzzy Inference Systems of Mamdani and Sugeno type. This book is intended to be a reference for scientists and
出版日期Book 2023
關(guān)鍵詞Computational Intelligence; Artificial Neural Networks (ANN); Optimization Algorithms; Fuzzy Logic; Fire
版次1
doihttps://doi.org/10.1007/978-3-031-47712-6
isbn_softcover978-3-031-47711-9
isbn_ebook978-3-031-47712-6Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks影響因子(影響力)




書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks影響因子(影響力)學(xué)科排名




書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks網(wǎng)絡(luò)公開度




書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks被引頻次




書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks被引頻次學(xué)科排名




書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks年度引用




書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks年度引用學(xué)科排名




書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks讀者反饋




書目名稱Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics
 

0票 0.00%

Better Implies Difficulty
 

0票 0.00%

Good and Satisfactory
 

0票 0.00%

Adverse Performance
 

0票 0.00%

Disdainful Garbage
您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:41:16 | 只看該作者
Fevrier Valdez,Juan Barraza,Patricia Melinntwortlich für ein weltweites Programm der Manager-Ausbildung und -Schulung in etwa 35 L?ndern der Erde. Die Kurse des IAA werden normalerweise gemeinsam mit den Schulungszentren der einzelnen L?nder organisiert, bis diese Zentren in der Lage sind, selbst?ndig weiterzuarbeiten. Es besteht wohl kein
板凳
發(fā)表于 2025-3-22 02:03:32 | 只看該作者
地板
發(fā)表于 2025-3-22 07:11:23 | 只看該作者
5#
發(fā)表于 2025-3-22 11:56:06 | 只看該作者
Fevrier Valdez,Juan Barraza,Patricia Melinzwei Teile, in die Aktivseite (Aktiva) und die Passivseite (Passiva). Es handelt sich hier offenbar. um Bezeichnungen, die der lateinischen Sprache entnommen sind. Das Wort Activum (Activa ist die Mehrzahlbildung) stammt von dem lateinischen Zeitwort ?agere“. Dies hei?t etwa: handeln, tun, t?tig sei
6#
發(fā)表于 2025-3-22 14:08:04 | 只看該作者
7#
發(fā)表于 2025-3-22 17:52:05 | 只看該作者
e Idee zu einem Anschlussbuch zun?chst gar nicht so offensichtlich, denn dieser erste Band zeigt bereits an sehr vielen Kennzahlen, wie man analytisch an die Gewinn- und Verlustrechnung sowie Bilanz herangehen kann, um Schwachstellen aufzudecken bzw. Optimierungspotenzial eindeutig zu identifizieren
8#
發(fā)表于 2025-3-22 22:01:47 | 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 classifica
9#
發(fā)表于 2025-3-23 02:43:21 | 只看該作者
10#
發(fā)表于 2025-3-23 06:57:37 | 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(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 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 20:39
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
彭山县| 英德市| 丹寨县| 峨山| 吴江市| 济南市| 西乌| 汕头市| 华亭县| 温州市| 象山县| 铜山县| 香格里拉县| 明星| 岢岚县| 河间市| 安多县| 建昌县| 灵武市| 芦溪县| 深州市| 邵东县| 九江市| 秦安县| 鱼台县| 翁牛特旗| 平安县| 文水县| 含山县| 洛浦县| 手机| 临汾市| 苏州市| 莆田市| 大丰市| 清水河县| 宣武区| 朝阳县| 大宁县| 西乌| 类乌齐县|