Parallel Type Two-axial Actuator Controlled by a Multi-layered Neural Network

2007 ◽  
Author(s):  
Masahiro Ohka ◽  
Yasuhiro Sawamoto ◽  
Shiho Matsukawa ◽  
Tetsu Miyaoka ◽  
Yasunaga Mitsuya
Keyword(s):  
Neural Network ◽  
Parallel Type

Application of RBF Neural Network in WEDM

2012 ◽  
Vol 468-471 ◽  
pp. 607-612
Author(s):  
Shi Ping Zhang ◽  
Yi Chao Ding ◽  
Jing Wang ◽  
Yuan Hui Li
Keyword(s):  
Neural Network ◽  
Complex System ◽  
Process Modeling ◽  
Rbf Neural Network ◽  
Machining Process ◽  
Self Organized ◽  
The Neural Network ◽  
Nonlinear Relation ◽  
Self Learning ◽  
Parallel Type

It is difficult to build a strict mathematical model for WEDM due to the complication of the machining process and the nonlinear relation between process parameters and process targets. The neural network is suited to the modeling of complex system, because it has the functions of self-organized, self-learning and associative memory, and properties of distributed parallel type and high robustness. Therefore, this paper attempts to use the RBF neural network for the process modeling of WEDM.

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural
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