Predicting quality characteristics of end-milled parts based on multi-sensor integration using neural networks: Individual effects of learning parameters and rules

A Chukwujekwu Okafor - Journal of Intelligent Manufacturing, 1995 - Springer
Artificial neural networks have been shown to have a lot of potential as a means of
integrating multi-sensor signals for real-time monitoring of machining processes. However …
被引用次数：29 相关文章

Predicting Quality Characteristics of End-Milled Parts based on Multi-Sensor Integration using Neural Networks: Individual Effects of Learning Parameters and Rules

AC Okafor, O Adetona - 1995 - scholarsmine.mst.edu
Artificial neural networks have been shown to have a lot of potential as a means of
integrating multi-sensor signals for real-time monitoring of machining processes. However …

[引用][C] Predicting quality characteristics of end-milled parts based on multi-sensor integration using neural networks: individual effects of learning parameters and rules

A Chukwujekwu Okafor, O Adetona - Journal of Intelligent Manufacturing, 1995 - Springer