DocumentCode
2290598
Title
BP-based learning system with analog neuro-LSI
Author
Todo, Yoshina ; Takasaki, Tsutomu ; Yoshida, Masahiro ; Yoneyama, Teru ; Asai, Hideki
Author_Institution
Systec Corp., Shizuoka, Japan
Volume
2
fYear
2001
fDate
2001
Firstpage
709
Abstract
This paper describes the fabrication of analog neuro-LSI and a learning system with the neuro-LSI, which uses the output of neuro-LSI for learning. First, the design and fabrication of the multi-layer neural network are shown. Next, the construction of learning system with Labview is described and the system performance is estimated. Finally, we show that this system can cancel the fluctuation of analog LSIs and is useful and practical
Keywords
VLSI; analogue processing circuits; backpropagation; large scale integration; multilayer perceptrons; neural chips; BP-based learning system; Labview; analog LSIs; analog neuro-LSI; learning system; multi-layer neural network; system performance; Fabrication; Fluctuations; Large scale integration; Learning systems; Modeling; Multi-layer neural network; Neural networks; Neurons; Very large scale integration; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2001. MWSCAS 2001. Proceedings of the 44th IEEE 2001 Midwest Symposium on
Conference_Location
Dayton, OH
Print_ISBN
0-7803-7150-X
Type
conf
DOI
10.1109/MWSCAS.2001.986286
Filename
986286
Link To Document