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: Models of Neural Networks; Eytan Domany,J. Leo Hemmen,Klaus Schulten Textbook 19911st edition Springer-Verlag Berlin Heidelberg 1991 Hirnf

[復(fù)制鏈接]
查看: 32733|回復(fù): 35
樓主
發(fā)表于 2025-3-21 19:01:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Models of Neural Networks
編輯Eytan Domany,J. Leo Hemmen,Klaus Schulten
視頻videohttp://file.papertrans.cn/637/636826/636826.mp4
叢書名稱Physics of Neural Networks
圖書封面Titlebook: Models of Neural Networks;  Eytan Domany,J. Leo Hemmen,Klaus Schulten Textbook 19911st edition Springer-Verlag Berlin Heidelberg 1991 Hirnf
描述One of the great inteJlectual cha1lenges for the next few decades is the question of brain organization. What is the basic mechanism for storage of memory? What are the processes that serve as the interphase between the basically chemical processes of the body and the very specific and nonstatistical operations in the brain? Above all. how is concept formation achieved in the human brain? I wonder whether the spirit of the physics that will be involved in these studies will not be akin to that which moved the founders of the ‘‘rational foundation of thermodynamics". CN. Yangl 10 The human brain is said 10 have roughly 10 neurons connected through about 14 10 synapses. Each neuron is itself a complex device which compares and integrates incoming electrical signals and relays a nonlinear response to other neurons. The brain certainly exceeds in complexity any system which physicists have studied in the past. Nevertheless, there do exist many analogies of the We have witnessed during the last decade brain to simpler physical systems.
出版日期Textbook 19911st edition
關(guān)鍵詞Hirnforschung; Mustererkennung; Nervennetz; Neuron; artificial intelligence; brain research; künstliche In
版次1
doihttps://doi.org/10.1007/978-3-642-97171-6
isbn_ebook978-3-642-97171-6Series ISSN 0939-3145
issn_series 0939-3145
copyrightSpringer-Verlag Berlin Heidelberg 1991
The information of publication is updating

書目名稱Models of Neural Networks影響因子(影響力)




書目名稱Models of Neural Networks影響因子(影響力)學(xué)科排名




書目名稱Models of Neural Networks網(wǎng)絡(luò)公開度




書目名稱Models of Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Models of Neural Networks被引頻次




書目名稱Models of Neural Networks被引頻次學(xué)科排名




書目名稱Models of Neural Networks年度引用




書目名稱Models of Neural Networks年度引用學(xué)科排名




書目名稱Models of Neural Networks讀者反饋




書目名稱Models of Neural Networks讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

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 23:09:28 | 只看該作者
0939-3145 rates incoming electrical signals and relays a nonlinear response to other neurons. The brain certainly exceeds in complexity any system which physicists have studied in the past. Nevertheless, there do exist many analogies of the We have witnessed during the last decade brain to simpler physical systems.978-3-642-97171-6Series ISSN 0939-3145
板凳
發(fā)表于 2025-3-22 04:29:33 | 只看該作者
地板
發(fā)表于 2025-3-22 05:25:23 | 只看該作者
5#
發(fā)表于 2025-3-22 10:33:56 | 只看該作者
6#
發(fā)表于 2025-3-22 15:57:32 | 只看該作者
7#
發(fā)表于 2025-3-22 18:48:12 | 只看該作者
Physics of Neural Networkshttp://image.papertrans.cn/m/image/636826.jpg
8#
發(fā)表于 2025-3-22 21:35:54 | 只看該作者
https://doi.org/10.1007/978-3-642-97171-6Hirnforschung; Mustererkennung; Nervennetz; Neuron; artificial intelligence; brain research; künstliche In
9#
發(fā)表于 2025-3-23 03:49:53 | 只看該作者
Protein Microarrays for Parasite Antigen Discovery,sera from infected/immune animals or humans and the antibody reactivity measured with fluorophore labeled antibodies on a confocal laser microarray scanner to identify potential targets for diagnosis or therapeutic or prophylactic intervention.
10#
發(fā)表于 2025-3-23 08:34:48 | 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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-20 19:49
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
墨江| 定陶县| 大邑县| 普兰县| 清涧县| 吐鲁番市| 汉寿县| 鹰潭市| 龙口市| 阳山县| 方正县| 龙岩市| 沛县| 勐海县| 二连浩特市| 张家界市| 固镇县| 曲靖市| 山阴县| 绥宁县| 仁布县| 珲春市| 德昌县| 山东| 股票| 磐安县| 陆丰市| 黄龙县| 彩票| 治多县| 淮北市| 汶上县| 陆河县| 宜昌市| 遂溪县| 海丰县| 南岸区| 祁阳县| 信阳市| 莲花县| 广河县|