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
洱源县| 横峰县| 崇信县| 墨江| 隆昌县| 隆安县| 珠海市| 昌吉市| 河曲县| 上蔡县| 肥城市| 灵璧县| 宿松县| 安庆市| 龙江县| 固阳县| 南康市| 磐石市| 英吉沙县| 沧源| 德令哈市| 色达县| 武汉市| 石城县| 湘西| 墨竹工卡县| 和田市| 肥城市| 新津县| 连云港市| 娱乐| 永德县| 桦川县| 留坝县| 公主岭市| 华坪县| 安西县| 阿克陶县| 龙岩市| 宜春市| 得荣县|