找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Advances in Soft Computing; 10th Mexican Interna Ildar Batyrshin,Grigori Sidorov Conference proceedings 2011 Springer-Verlag GmbH Berlin He

[復(fù)制鏈接]
查看: 48321|回復(fù): 62
樓主
發(fā)表于 2025-3-21 17:55:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Advances in Soft Computing
期刊簡(jiǎn)稱(chēng)10th Mexican Interna
影響因子2023Ildar Batyrshin,Grigori Sidorov
視頻videohttp://file.papertrans.cn/150/149746/149746.mp4
發(fā)行地址State-of-the-art research.Fast-track conference proceedings.Unique visibility
學(xué)科分類(lèi)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Advances in Soft Computing; 10th Mexican Interna Ildar Batyrshin,Grigori Sidorov Conference proceedings 2011 Springer-Verlag GmbH Berlin He
影響因子The two-volume set LNAI 7094 and 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully selected from XXX submissions. The second volume contains 46 papers focusing on soft computing. The papers are organized in the following topical sections: fuzzy logic, uncertainty and probabilistic reasoning; evolutionary algorithms and other naturally-inspired algorithms; data mining; neural networks and hybrid intelligent systems; and computer vision and image processing.
Pindex Conference proceedings 2011
The information of publication is updating

書(shū)目名稱(chēng)Advances in Soft Computing影響因子(影響力)




書(shū)目名稱(chēng)Advances in Soft Computing影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Advances in Soft Computing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Advances in Soft Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Advances in Soft Computing被引頻次




書(shū)目名稱(chēng)Advances in Soft Computing被引頻次學(xué)科排名




書(shū)目名稱(chēng)Advances in Soft Computing年度引用




書(shū)目名稱(chēng)Advances in Soft Computing年度引用學(xué)科排名




書(shū)目名稱(chēng)Advances in Soft Computing讀者反饋




書(shū)目名稱(chēng)Advances in Soft Computing讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:20:30 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:31:34 | 只看該作者
Bio-Inspired Optimization Methods for Minimization of Complex Mathematical Functionsintegrate the results, the proposed method is called FPSO+FGA. The new hybrid FPSO+FGA approach is compared with the Simulated Annealing (SA), PSO, GA, Pattern Search (PS) methods with a set of benchmark mathematical functions.
地板
發(fā)表于 2025-3-22 05:59:42 | 只看該作者
Modeling Prey-Predator Dynamics via Particle Swarm Optimization and Cellular Automatams that change cells state according to some pre-defined heuristic, to diffusion algorithms based on the one dimensional Navier - Stokes equation or lattice gases. In this work we show a novel idea since the predator dynamics evolve through Particle Swarm Optimization.
5#
發(fā)表于 2025-3-22 08:58:53 | 只看該作者
6#
發(fā)表于 2025-3-22 16:54:50 | 只看該作者
Matt Osborne,Richard Hawkins,John McDermidtheir computation is unusually complex. This makes us think that there should be an analog of Heisenberg’s uncertainty principle well known in quantum mechanics: when we an unusually beneficial situation in terms of results, it is not as perfect in terms of computations leading to these results. In
7#
發(fā)表于 2025-3-22 18:54:42 | 只看該作者
8#
發(fā)表于 2025-3-23 01:08:37 | 只看該作者
https://doi.org/10.1007/978-3-031-14835-4able to drive uncertainty like that arising from process measurements. The developed model is contrasted with an usual type-1 fuzzy model driven by the same uncertain data. Model development is conducted, mainly, by experimental data which is comprised by thirteen data sets obtained from different p
9#
發(fā)表于 2025-3-23 02:34:56 | 只看該作者
10#
發(fā)表于 2025-3-23 09:04:50 | 只看該作者
Computer Safety, Reliability, and Security of the Sugeno type. In our case study the controller has four inputs, each of them with two membership functions; we consider the intersection point for every pair of membership functions as the main parameter and their individual shape as secondary ones in order to achieve the tuning of the fuzzy
 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(ài)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, 2025-10-25 20:35
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
信宜市| 新化县| 南丰县| 宝丰县| 清河县| 巴南区| 建湖县| 石家庄市| 永新县| 芦山县| 义马市| 丹凤县| 加查县| 樟树市| 隆德县| 武安市| 建昌县| 克东县| 新乡市| 久治县| 页游| 华亭县| 监利县| 通化县| 师宗县| 武乡县| 祁阳县| 东城区| 定兴县| 林芝县| 泰兴市| 大埔区| 清镇市| 青河县| 原阳县| 大安市| 泸西县| 宜君县| 聂荣县| 庄浪县| 新邵县|