Presentation 2002/3/13
Logical function extraction from Neural Network : Increasing in efficiency of learning And Making hardware
Satomi AMANO, Arata MIYAUCHI, Tomo ISHIKAWA,
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Abstract(in English) We have proposed the technique of not using multiplication and addition. By the result of the recognition experiment by this method, we had checked that recognition time was shortened. However, by this method, the learning for acquiring the value suitable for extraction of the logical function took time. Therefore, we propose the technique of aiming at improvement in learning efficiency in this thesis. This technique uses the learning algorithm suitable for extracting a logical function, when learning. This is the technique of learning by newly setting the middle layer's evaluation value. By this result, we had checked that learning time had been shortened and the rate of extraction of the right logical function had increased. Moreover, The recognition system by this technique can be made only from a primitive logical operator. The system by this technology was actually compared with the system by general technology, and it had checked that the system by this technology was simpler.
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Keyword(in English) multi-layered neural network / logical function
Paper # NC2001-209
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Committee NC
Conference Date 2002/3/13(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Logical function extraction from Neural Network : Increasing in efficiency of learning And Making hardware
Sub Title (in English)
Keyword(1) multi-layered neural network
Keyword(2) logical function
1st Author's Name Satomi AMANO
1st Author's Affiliation Electrical Engineering, Graduate School, Musashi Institute of Technology()
2nd Author's Name Arata MIYAUCHI
2nd Author's Affiliation Electrical Engineering, Graduate School, Musashi Institute of Technology
3rd Author's Name Tomo ISHIKAWA
3rd Author's Affiliation Electrical Engineering, Graduate School, Musashi Institute of Technology
Date 2002/3/13
Paper # NC2001-209
Volume (vol) vol.101
Number (no) 737
Page pp.pp.-
#Pages 8
Date of Issue