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: Artificial Mind System; Kernel Memory Approa Tetsuya Hoya Book 2005 Springer-Verlag Berlin Heidelberg 2005 Artificial Intelligence.Mind.Reg

[復(fù)制鏈接]
樓主: Assert
31#
發(fā)表于 2025-3-27 00:07:12 | 只看該作者
32#
發(fā)表于 2025-3-27 02:21:29 | 只看該作者
The Self-Organising Kernel Memory (SOKM), examples. In this chapter, a novel unsupervised algorithm to train the link weights between the KFs is given by extending the original Hebb’s neuropsychological concept, whereby the self-organising kernel memory (SOKM). is proposed.
33#
發(fā)表于 2025-3-27 08:06:47 | 只看該作者
34#
發(fā)表于 2025-3-27 10:36:15 | 只看該作者
35#
發(fā)表于 2025-3-27 17:34:16 | 只看該作者
36#
發(fā)表于 2025-3-27 18:44:57 | 只看該作者
37#
發(fā)表于 2025-3-27 23:28:36 | 只看該作者
,The Kernel Memory Concept – A Paradigm Shift from Conventional Connectionism,In this chapter, the general concept of kernel memory (KM) is described, which is given as the basis for not only representing the general notion of “memory” but also modelling the psychological functions related to the arti- ficial mind system developed in later chapters.
38#
發(fā)表于 2025-3-28 05:34:27 | 只看該作者
The Artificial Mind System (AMS), Modules, and Their Interactions,The previous two chapters have been devoted to establishing the novel artificial neural network concept, namely the kernel memory concept, for the foundation of the artificial mind system (AMS).
39#
發(fā)表于 2025-3-28 07:25:32 | 只看該作者
40#
發(fā)表于 2025-3-28 12:31:43 | 只看該作者
Modelling Abstract Notions Relevant to the Mind and the Associated Modules,This chapter is devoted to the remaining four modules within the AMS, i.e. 1) ., 2) ., 3) ., and 4) . module, and their mutual interactions with the other associated modules. Then, the four modules so modelled represent the respective abstract notions related to the mind.
 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(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, 2025-10-7 02:34
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
夏津县| 营口市| 黑龙江省| 噶尔县| 平和县| 英吉沙县| 凤城市| 哈密市| 道孚县| 哈尔滨市| 寿阳县| 毕节市| 固始县| 阳原县| 托里县| 新田县| 安平县| 延津县| 霸州市| 宣汉县| 砀山县| 泸定县| 琼中| 新丰县| 克山县| 松潘县| 兴安盟| 岑溪市| 库车县| 无锡市| 邳州市| 金华市| 登封市| 锦屏县| 乌兰浩特市| 乌拉特中旗| 榕江县| 福贡县| 台东县| 天镇县| 沙田区|