One-chip FPGA Implementation of Multi-Valued "And/Or"-Neural Network

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概要

• 論文の詳細を見る

• Abstract To construct of a multi-layer network in a FPGA, we discuss simplified network constructions. We reexamined neuron functions for back-propagation learning. We made some improvements for the functions, but couldn't achieve drastic reduction. As the results, we abandoned back-propagation learning, and proposed a new neural network, named as AND/OR-neural network, which is derived from the disjunctive normal-form of logical expressions. The network is defined in the binary logic only and has a conclusive learning. The hardware amounts are less than that of the original, and the network can be implemented in a small size FPGA. However, the AND/OR-neural network has not prediction ability. Therefore, to obtain the ability, we expand it to multi-valued type. The extension is done approximately by replacements of logical operators. We discussed the property. We implemented the multi-valued AND/OR-network in 20K gates FPGA, and we could solve 7th-dimensional exclusive-OR problem in order of microsecond.

• 宮崎大学の論文

著者

• WANG Kai

  Department of Pharmacology, Interdisciplinary Graduate School of Medicine and Engineering, Universit

• Wang Kai

  Department Of Pharmacology Interdisciplinary Graduate School Of Medicine And Engineering University

• Wang Kai

  Department Of Electric And Electronic Engineering Graduate School Of Engineering Miyazaki University

• Aoyama Tomoo

  Department Of Electric And Electronic Engineering Faculty Of Engineering Miyazaki University

• Wang Q

  Department Of Electric And Electronic Engineering Faculty Of Engineering Miyazaki University

• Yuan Yan

  Department of Electric and electronic Engineering, Graduate School of Engineering, Miyazaki Universi

• Wang Qianyi

  Department of Electric and electronic Engineering, Faculty of Engineering, Miyazaki University

• Yuan Yan

  Department Of Electric And Electronic Engineering Faculty Of Engineering Miyazaki University

• Wang Qianyi

  Department Of Electric And Electrical Faculty Of Engineering Miyazaki University

• Wang Kai

  Department Of Biostatistics University Of Iowa

• Aoyama Tomoo

  Department of Chemistry, Faculty of Science, University of Tokyo

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