2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119)最新文献

A new genetic approach to universal rule generation from trained neural networks 神经网络通用规则生成的遗传新方法

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) Pub Date : 2000-12-01 DOI: 10.1109/TENCON.2000.893529

M. Fukumi, Y. Mitsukura, N. Akamatsu

引用次数: 1

A vision problem in wire bonding 金属丝粘接中的视觉问题

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) Pub Date : 2000-11-24 DOI: 10.1109/TENCON.2000.893678

N. Noor, O. M. Rijal, O.M. Bader, P. Thon

引用次数: 2

Growing multi-experts network 不断发展的多专家网络

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) Pub Date : 2000-11-01 DOI: 10.1109/TENCON.2000.892312

C. Loo, M. Rajeswari

{"title":"Growing multi-experts network","authors":"C. Loo, M. Rajeswari","doi":"10.1109/TENCON.2000.892312","DOIUrl":"https://doi.org/10.1109/TENCON.2000.892312","url":null,"abstract":"In this paper, a particular class of modular network called Growing Multi-Experts network is presented. The core idea of Multi-Experts network shares a conceptual link with divide-and conquer methodology. In this regard, the task of approximating a complicated nonlinear function can be split up among local experts. In other words, the problem space is decomposed into overlapping regions and local experts approximate the data in every region. Growing Multi-Experts network may be subjected to over-fitting problem if the number of experts assigned to the network is not properly defined. The proposed Growing Multi-Experts network is shown to be able to detect redundant experts that exist in the network and suppress the disturbance caused by the redundant experts. A Redundant Experts Removal algorithm is proposed in attempt to remove the redundant experts from the network. This algorithm has been tested with the well-known gas furnace data of Box and Jenkins to compare its performance with other statistical and fuzzy modeling approaches. It is observed that Growing Multi-Experts Network is able to learn the network structure incrementally and reach a good approximation level while maintaining a minimal architecture. The performance of the model compares favorably with these existing techniques.","PeriodicalId":396649,"journal":{"name":"2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114420848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Fibre optic Bragg grating sensors: a new technology for smart structure monitoring in Malaysia 光纤布拉格光栅传感器:马来西亚智能结构监测的新技术

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) Pub Date : 2000-09-27 DOI: 10.1109/TENCON.2000.892227

R. Rahman, S. Ikhsan, H. M. Supian, J. Fizik, F. Sains

引用次数: 7

Signal segmentation and its application in the feature extraction of speech 信号分割及其在语音特征提取中的应用

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) Pub Date : 2000-09-25 DOI: 10.1109/TENCON.2000.893584

Ahmad Idil Abdul Rahman, Sheikh Hussein Shaikh Salleh, A. Sha'ameri, Syed Abdul Rahman AI-Attas

引用次数: 2

Form features for concurrent engineering 形成并行工程的特性

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) Pub Date : 2000-09-24 DOI: 10.1109/TENCON.2000.892311

N. Ismail, T. C. Fai, M.S. Salif

引用次数: 0

Hybrid method for a postal delivery route generation 邮政投递路线生成的混合方法

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) Pub Date : 2000-09-24 DOI: 10.1109/TENCON.2000.888799

S. Tsuruta, K. Ohsugi, Y. Toyama, T. Onoyama

引用次数: 2

A data mining strategy for inductive data clustering: a synergy between self-organising neural networks and K-means clustering techniques 归纳数据聚类的数据挖掘策略:自组织神经网络和K-means聚类技术之间的协同作用

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) Pub Date : 2000-09-24 DOI: 10.1109/TENCON.2000.888802

S. Abidi, J. Ong

{"title":"A data mining strategy for inductive data clustering: a synergy between self-organising neural networks and K-means clustering techniques","authors":"S. Abidi, J. Ong","doi":"10.1109/TENCON.2000.888802","DOIUrl":"https://doi.org/10.1109/TENCON.2000.888802","url":null,"abstract":"Self-organising neural networks have a natural propensity to cluster well-defined data into visually distinct clusters, which can then be easily interpretable by data analysts. However, there are situations when the clustering output of the self-organising network does not render distinct clusters. In this paper, we present a technique to automate the data mining task of data clustering, i.e. to automate cluster identification/demarcation by drawing upon a synergy between the self-organising neural networks and statistical data clustering techniques. The implied hybrid of diverse data clustering techniques provides an improved strategy to (a) discover hidden similarities between data items; (b) group similar data items into distinct and well-defined clusters - i.e. with explicit boundaries between different clusters and defined cluster membership characteristics; and (c) visualise the emergent data clusters in a 2D and 3D manner. Our proposed solution is implemented in terms of a data clustering workbench (DCW) - an all-encompassing (exploratory) data mining application.","PeriodicalId":396649,"journal":{"name":"2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114912721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

Level control experiment via Internet 通过网络进行液位控制实验

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) Pub Date : 2000-09-24 DOI: 10.1109/TENCON.2000.888798

H. Salleh, T.F. Yusaf, M. Azlan

引用次数: 2

Contrast resolution enhancement based on wavelet shrinkage and gray level mapping technique 基于小波收缩和灰度映射技术的对比度分辨率增强

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) Pub Date : 2000-09-24 DOI: 10.1109/TENCON.2000.888816

H. Saim, S. Fhong, N. Noor, Junaidy Bin Abd Wahab

引用次数: 10