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: New Trends in Neural Computation; International Worksh José Mira,Joan Cabestany,Alberto Prieto Conference proceedings 1993 Springer-Verlag

[復(fù)制鏈接]
查看: 32716|回復(fù): 68
樓主
發(fā)表于 2025-3-21 17:33:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱New Trends in Neural Computation
副標(biāo)題International Worksh
編輯José Mira,Joan Cabestany,Alberto Prieto
視頻videohttp://file.papertrans.cn/666/665998/665998.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: New Trends in Neural Computation; International Worksh José Mira,Joan Cabestany,Alberto Prieto Conference proceedings 1993 Springer-Verlag
描述Neural computation arises from the capacity of nervoustissue to processinformation and accumulate knowledge in anintelligent manner. Conventional computational machines haveencountered enormous difficulties in duplicatingsuchfunctionalities. This has given rise to the developmentofArtificial Neural Networks where computation is distributedover a great number of local processing elements with a highdegree of connectivityand in which external programming isreplaced with supervised and unsupervised learning.The papers presented in this volume are carefullyreviewedversions of the talks delivered at the InternationalWorkshopon Artificial Neural Networks (IWANN ‘93) organizedby the Universities ofCatalonia and the Spanish OpenUniversity at Madrid and held at Barcelona,Spain, in June1993. The 111 papers are organized in sevensections:biological perspectives, mathematical models, learning,self-organizing networks, neural software,hardwareimplementation, and applications (in five subsections:signalprocessing and pattern recognition, communications,artificial vision,control and robotics, and otherapplications).
出版日期Conference proceedings 1993
關(guān)鍵詞Artificial Neural Networks; C++ programming language; Fuzzy; Künstliche Neuronale Netze; Neural Architec
版次1
doihttps://doi.org/10.1007/3-540-56798-4
isbn_softcover978-3-540-56798-1
isbn_ebook978-3-540-47741-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1993
The information of publication is updating

書目名稱New Trends in Neural Computation影響因子(影響力)




書目名稱New Trends in Neural Computation影響因子(影響力)學(xué)科排名




書目名稱New Trends in Neural Computation網(wǎng)絡(luò)公開度




書目名稱New Trends in Neural Computation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱New Trends in Neural Computation被引頻次




書目名稱New Trends in Neural Computation被引頻次學(xué)科排名




書目名稱New Trends in Neural Computation年度引用




書目名稱New Trends in Neural Computation年度引用學(xué)科排名




書目名稱New Trends in Neural Computation讀者反饋




書目名稱New Trends in Neural Computation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

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:38:47 | 只看該作者
The pancreatic B-cell as a voltage-controlled oscillator,e glucose concentration. The effect of increased glucose concentrations is transduced in terms of modulation of frequency of the oscillations rather than in a sustained depolarization. We stress the analogies between this control system and a voltage-controlled oscillator fed by a comparator.
板凳
發(fā)表于 2025-3-22 01:40:28 | 只看該作者
Learning by reinforcement: A psychobiological model,ved phenomena in behaviorist experiments of operant and classical conditioning. The authors propose that an input-output map can be expressed as a combination of these phenomena, in the sense that the task of teaching a function is to make the network to adapt itself to verify a set of phenomena between its inputs and outputs.
地板
發(fā)表于 2025-3-22 05:27:04 | 只看該作者
A high order neural model,g language running as a multi-elemental processor parallel computer. The system that is finally presented is a higher-ordered neural network with nonsupervised learning implemented in a multilayer structure.
5#
發(fā)表于 2025-3-22 11:09:31 | 只看該作者
Higher-order networks for the optimization of block designs,is network is then used for the generation of some designs that are known to exist. For some designs the results are good, but for some others the system fails to find an optimal solution in a reasonable time. The problem is shown to be a good example to test the performance of optimizing neural networks.
6#
發(fā)表于 2025-3-22 16:36:30 | 只看該作者
7#
發(fā)表于 2025-3-22 17:10:23 | 只看該作者
0302-9743 ional computational machines haveencountered enormous difficulties in duplicatingsuchfunctionalities. This has given rise to the developmentofArtificial Neural Networks where computation is distributedover a great number of local processing elements with a highdegree of connectivityand in which exte
8#
發(fā)表于 2025-3-22 21:19:47 | 只看該作者
9#
發(fā)表于 2025-3-23 03:43:28 | 只看該作者
10#
發(fā)表于 2025-3-23 08:38:24 | 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(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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-28 14:23
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
佛冈县| 璧山县| 临颍县| 克东县| 疏勒县| 关岭| 贵州省| 苏州市| 长沙市| 营口市| 丁青县| 庆城县| 巴林右旗| 许昌县| 南宁市| 桃源县| 扶沟县| 安仁县| 上高县| 连平县| 遂平县| 满洲里市| 雷山县| 广河县| 澄城县| 汤阴县| 遂昌县| 高碑店市| 巴楚县| 吉林市| 涿州市| 桑日县| 阳原县| 莱州市| 张北县| 抚顺市| 江门市| 永和县| 郴州市| 信丰县| 三台县|