Development of Intelligent System Method Based on a Macroscopic Viewpoint of Brain Functions and Construction of its Hardware System

基于脑功能宏观视角的智能系统方法开发及其硬件系统构建

• 批准号: 12650408
• 负责人: HONDA Nakaji
• 金额: $ 1.92万
• 依托单位: The University of Electro-Communications
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2000
• 资助国家: 日本
• 起止时间: 2000 至 2002
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-12650408/
• 关键词: Intelligent System; Fuzzy Method; Brain Function; Learning; Hardware System; ハードウェア

As a new methodology of intelligent system, we have proposed an pattern information based active learning method (PBALM), which has a non-exact processing nature without complex computational formulas. The PBALM is formed on the basis of fuzzy concepts, striving for human-like information processing. Typical fuzzy rules. On the other hand, the PBALM features are ambiguous pattern processings. This simulates human brain nature in the modeling of processing information in pattern-like images rather than utilizing numerical interpretations, when humans acquire knowledge from complex targets.The PBALM has plural processing units called IDS's, which are tasked with extracting useful information from a system subject to modeling. In order to realize an PBALM system which is capable of performing complex, large scale modeling with an excellent fault tolerant architecture, dedicated hardware for IDS is indispensable. For the purpose of developing such an intelligent hardware system, we tentatively designed an IDS hardware unit using an evaluation board available on the market, and verified how effective it would be.Because we confirmed the effectiveness of dedicated IDS hardware with the evaluation board, we developed a new IDS processing unit called 'HIDS'. We designed a printed circuit board on which an IDS controller which ran at 100MHz, were mounted. In performance test results, in spite of the parallelization of only four HIDS boards, the performance of HIDS was far superior in the processing time in comparison to that of the software-based PBALM. By using HIDS units that we developed in this project, the PBALM system would be applied to modeling and control applications under demanding realtime conditions.

作为一种新的智能系统方法，我们提出了一种基于模式信息的主动学习方法（PBALM），它具有非精确处理的性质，不需要复杂的计算公式。PBALM是在模糊概念的基础上形成的，力求像人类一样进行信息处理。典型的模糊规则另一方面，PBALM特征是模糊模式处理。当人类从复杂的目标获取知识时，这模拟了人类大脑在处理图案状图像中的信息的建模中的性质，而不是利用数值解释。PBALM具有称为IDS的多个处理单元，其任务是从受到建模的系统中提取有用的信息。为了实现一个PBALM系统，这是能够执行复杂的，大规模的建模与优秀的容错体系结构，专用的硬件入侵检测系统是必不可少的。为了开发这样的智能硬件系统，我们使用市场上的评估板，尝试性地设计了一个IDS硬件单元，并验证了它的有效性。由于我们使用评估板确认了专用IDS硬件的有效性，我们开发了一个新的IDS处理单元，称为“HIDS”。我们设计了一个印刷电路板，在其上安装了一个工作在100MHz的IDS控制器。在性能测试结果中，尽管只有四个HIDS板的并行化，但与基于软件的PBALM相比，HIDS的性能在处理时间上远远优于上级。通过使用我们在这个项目中开发的HIDS单元，PBALM系统将被应用于要求实时条件下的建模和控制应用。

项目成果

Go Yuasa, Saeed Bagheri Shouraki, Nakaji Honda, Yoshitaka Sakurai: "Applying an Active Learning Method to Control Problems"Proc.of Asian Fuzzy System Symposium 2000 (AFSS000). Vol.1. 572-577 (2000)

Go Yuasa、Saeed Bagheri Shouraki、Nakaji Honda、Yoshitaka Sakurai：“应用主动学习方法来控制问题”Proc.of Asian Fuzzy System Symposium 2000 (AFSS000)。

Yoshitaka Sakurai, Nakaji Honda, Junji Nishino: "Acquisition of Control Knowledge on Nonholonomic System by Active Learning Method"Proc.of 2003 IEEE International Conference on Systems, Man & Cybernetics. 2400-2405 (2003)

Yoshitaka Sakurai、Nakaji Honda、Junji Nishino：“Acquisition of Control Knowledge on Nonholonomic System by Active Learning Method”Proc.of 2003 IEEE 国际系统会议，Man

櫻井義尚, 本多中二, 西野順二: "能動的学習法を用いた制御知識の獲得"第12回インテリジェントシステムシンポジウム講演論文集. FAN '02. 463-466 (2002)

Yoshihisa Sakurai、Chuji Honda、Junji Nishino：“利用主动学习方法获取控制知识”第 12 届智能系统研讨会论文集 02 (2002)。

秋本英一,本多中二,S.B.Shouraki: "能動的学習法のハードウェア構築に関する研究"第10回インテリジェント・システム・シンポジウム講演論文集. 371-374 (2000)

Eiichi Akimoto、Chuji Honda、S.B Shouraki：“主动学习方法的硬件构建研究”第十届智能系统研讨会论文集 371-374（2000 年）。

本多中二, 高田雄二, 村上真之, 西野順二: "パターン情報に基づく学習法による空調風速分布のモデリング"情報処理学会研究報告. MPS-42. 103-106 (2002)

Chuji Honda、Yuji Takada、Masayuki Murakami、Junji Nishino：“使用基于模式信息的学习方法进行空调风速分布建模”日本信息处理协会研究报告 103-106（2002 年）。