找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: VLSI for Neural Networks and Artificial Intelligence; José G. Delgado-Frias,William R. Moore Book 1994 Springer Science+Business Media New

[復(fù)制鏈接]
查看: 23387|回復(fù): 63
樓主
發(fā)表于 2025-3-21 17:05:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱VLSI for Neural Networks and Artificial Intelligence
編輯José G. Delgado-Frias,William R. Moore
視頻videohttp://file.papertrans.cn/981/980108/980108.mp4
圖書封面Titlebook: VLSI for Neural Networks and Artificial Intelligence;  José G. Delgado-Frias,William R. Moore Book 1994 Springer Science+Business Media New
描述Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. This in turn has posed a tremendous need for a larger computational power that conventional scalar processors may not be able to deliver efficiently. These processors are oriented towards numeric and data manipulations. Due to the neurocomputing requirements (such as non-programming and learning) and the artificial intelligence requirements (such as symbolic manipulation and knowledge representation) a different set of constraints and demands are imposed on the computer architectures/organizations for these applications. Research and development of new computer architectures and VLSI circuits for neural networks and artificial intelligence have been increased in order to meet the new performance requirements. This book presents novel approaches and trends on VLSI implementations of machines for these applications. Papers have been drawn from a number of research communities; the subjects span analog and digital VLSI design, computer design, computer architectures, neurocomputing and artificial intelligence techniques. This book has been
出版日期Book 1994
關(guān)鍵詞CMOS; VLSI; artificial intelligence; backpropagation; knowledge; learning; neural network
版次1
doihttps://doi.org/10.1007/978-1-4899-1331-9
isbn_softcover978-1-4899-1333-3
isbn_ebook978-1-4899-1331-9
copyrightSpringer Science+Business Media New York 1994
The information of publication is updating

書目名稱VLSI for Neural Networks and Artificial Intelligence影響因子(影響力)




書目名稱VLSI for Neural Networks and Artificial Intelligence影響因子(影響力)學(xué)科排名




書目名稱VLSI for Neural Networks and Artificial Intelligence網(wǎng)絡(luò)公開度




書目名稱VLSI for Neural Networks and Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱VLSI for Neural Networks and Artificial Intelligence被引頻次




書目名稱VLSI for Neural Networks and Artificial Intelligence被引頻次學(xué)科排名




書目名稱VLSI for Neural Networks and Artificial Intelligence年度引用




書目名稱VLSI for Neural Networks and Artificial Intelligence年度引用學(xué)科排名




書目名稱VLSI for Neural Networks and Artificial Intelligence讀者反饋




書目名稱VLSI for Neural Networks and Artificial Intelligence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(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:02:29 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:11:33 | 只看該作者
Design of Neural Self-Organization Chips for Semantic ApplicationsFor Kohonen’s LVQ algorithm, we need the operation as follows; . where ..,... , .. are the reference vectors, . is the input vector, and |. is the norm between A and B (Kohonen 1989).
地板
發(fā)表于 2025-3-22 08:33:22 | 只看該作者
Analog VLSI Neural Learning Circuits — A Tutorialsystems. We do not cover the wider topic of analog VLSI neural networks in general, but restrict the presentation to circuits which perform in situ learning. Both supervised and unsupervised learning models are included.
5#
發(fā)表于 2025-3-22 09:41:35 | 只看該作者
A VLSI Pipelined Neuroemulator memory, image processing and word recognition (Simpson 1992). ANNs is a novel computing paradigm in which an artificial neuron produces an output that depends on the inputs (from other neurons), the strength or weights associated with the inputs, and an activation function.
6#
發(fā)表于 2025-3-22 14:32:30 | 只看該作者
http://image.papertrans.cn/v/image/980108.jpg
7#
發(fā)表于 2025-3-22 19:05:47 | 只看該作者
8#
發(fā)表于 2025-3-22 22:54:10 | 只看該作者
9#
發(fā)表于 2025-3-23 05:10:59 | 只看該作者
10#
發(fā)表于 2025-3-23 05:52:36 | 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(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, 2025-10-6 23:27
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
抚远县| 津市市| 外汇| 镇雄县| 同江市| 日土县| 额敏县| 无极县| 庆云县| 工布江达县| 砀山县| 博湖县| 偏关县| 西丰县| 建德市| 高青县| 江山市| 闸北区| 金山区| 腾冲县| 霍山县| 石家庄市| 扶余县| 明水县| 太保市| 湄潭县| 南部县| 衡阳市| 宁都县| 辽宁省| 江安县| 安徽省| 浦东新区| 西宁市| 沾化县| 千阳县| 壤塘县| 深圳市| 封丘县| 苏尼特右旗| 黔西县|