Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300)最新文献_第2页

Architecture design of artificial neural networks based on Box & Jenkins models for time series prediction 基于 Box & Jenkins 模型的人工神经网络架构设计，用于时间序列预测

Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300) Pub Date : 1999-09-23 DOI: 10.1109/ICCIMA.1999.798496

H. Diniz, L. de Andrade, A. de Carvalho, M. de Andrade

引用次数: 2

RBF neural network for thrust and torque predictions in drilling operations RBF神经网络在钻井作业中的推力和扭矩预测

Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300) Pub Date : 1999-09-23 DOI: 10.1109/ICCIMA.1999.798501

V. Karri

{"title":"RBF neural network for thrust and torque predictions in drilling operations","authors":"V. Karri","doi":"10.1109/ICCIMA.1999.798501","DOIUrl":"https://doi.org/10.1109/ICCIMA.1999.798501","url":null,"abstract":"In recent years, radial basis function (RBF) neural networks have been shown to be versatile for performance prediction involving nonlinear processes. Machining performance prediction involving various process variables is a nonlinear problem. The conventional mechanics of the cutting approach for predicting thrust and torque in drilling makes use of the oblique cutting theory and an orthogonal cutting databank. The quantitative reliability, in these models, depends on the 'input parameters' along with the 'edge force' components from the orthogonal cutting databank for that given work material. By contrast, neural networks for drilling performance prediction have been shown to be successful for quantitative predictions with minimum number of inputs. In this paper, an RBF neural network architecture is proposed which uses process variables such as tool geometry and operating conditions to estimate thrust and torque in drilling. Extensive drilling tests are carried out to train the RBF network. The developed network is tested over a range of process variables to estimate thrust and torque. It is shown that, using the neural network architecture, the drilling forces are 'simultaneously' predicted to within 5% of the experimental values.","PeriodicalId":110736,"journal":{"name":"Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127132459","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: 21

Self-organization neurons blocks networks [sic] 自组织神经元阻断网络

Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300) Pub Date : 1999-09-23 DOI: 10.1109/ICCIMA.1999.798502

M. Valença, Teresa B Ludermir

引用次数: 4

Combining CBR and GA for designing FPGAs 结合CBR和遗传算法设计fpga

Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300) Pub Date : 1999-09-23 DOI: 10.1109/ICCIMA.1999.798516

D. Job, V. Shankararaman, J. Miller

引用次数: 5

A formal model for software evolution 软件演化的正式模型

Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300) Pub Date : 1999-09-23 DOI: 10.1109/ICCIMA.1999.798518

M. Harn, V. Berzins, Luqi, B. Shultes

引用次数: 5

On generalisation of machine learning with neural-evolutionary computations 用神经进化计算概括机器学习

Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300) Pub Date : 1999-09-23 DOI: 10.1109/ICCIMA.1999.798512

R. Kumar

引用次数: 1

Use of transforms for indexing in audio databases 在音频数据库中使用转换进行索引

Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300) Pub Date : 1999-09-23 DOI: 10.1109/ICCIMA.1999.798543

S. Subramanya, A. Youssef, B. Narahari, R. Simha

引用次数: 5

OOHyTime from the time-based point of view: the case of synchronization specification in multimedia documents 从基于时间的角度看OOHyTime:多媒体文档中同步规范的案例

Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300) Pub Date : 1999-09-23 DOI: 10.1109/ICCIMA.1999.798550

L. P. Scott, M. Pimentel

引用次数: 0

A survey on supervised learning by evolving multi-layer perceptrons 基于进化多层感知器的监督学习研究综述

Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300) Pub Date : 1999-09-23 DOI: 10.1109/ICCIMA.1999.798514

A. Ribert, E. Stocker, Y. Lecourtier, A. Ennaji

引用次数: 8

A framework for agent-oriented workflow in agriculture 面向agent的农业工作流框架

Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300) Pub Date : 1999-09-23 DOI: 10.1109/ICCIMA.1999.798494

M. Ivanović, Z. Budimac

引用次数: 1