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 投稿經(jīng)驗總結(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 20:40
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
浪卡子县| 沂南县| 清水河县| 保康县| 察隅县| 汽车| 霍林郭勒市| 兴安盟| 贵定县| 长汀县| 灵川县| 湖州市| 虹口区| 张家口市| 马鞍山市| 麻城市| 阿坝| 依安县| 阿城市| 靖宇县| 吉林省| 车致| 峨眉山市| 敦煌市| 彰化县| 汉川市| 韩城市| 安福县| 历史| 绩溪县| 象州县| 突泉县| 义乌市| 那曲县| 平阴县| 南宫市| 通山县| 雷山县| 呼伦贝尔市| 沅江市| 孝义市|