Multi-Modal Neural Networks for Symbolic Sequence Pattern Classification(Biocybernetics, Neurocomputing)

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概要

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• We have developed Multi-modal Neural Networks (MNN) to improve the accuracy of symbolic sequence pattern classification. The basic structure of the MNN is composed of several sub-classifiers using neural networks and a decision unit. Two types of the MNN are proposed: a primary MNN and a twofold MNN. In the primary MNN, the sub-classifier is composed of a conventional three-layer neural network. The decision unit uses the majority decision to produce the final decisions from the outputs of the sub-classifiers. In the twofold MNN, the sub-classifier is composed of the primary MNN for partial classification. The decision unit uses a three-layer neural network to produce the final decisions. In the latter type of the MNN, since the structure of the primary MNN is folded into the sub-classifier, the basic structure of the MNN is used twice, which is the reason why we call the method twofold MNN. The MNN is validated with two benchmark tests: EPR (English Pronunciation Reasoning) and prediction of protein secondary structure. The reasoning accuracy of EPR is improved from 85.4% by using a three-layer neural network to 87.7% by using the primary MNN. In the prediction of protein secondary structure, the average accuracy is improved from 69.1% of a three-layer neural network to 74.6% by the primary MNN and 75.6% by the twofold MNN. The prediction test is based on a database of 126 non-homologous protein sequences.

• 社団法人電子情報通信学会の論文
• 2004-07-01

著者

• YOSHIHARA Ikuo

  Faculty of Engineering, University of Miyazaki

• YAMAMORI Kunihito

  Faculty of Engineering, University of Miyazaki

• YASUNAGA Moritoshi

  Graduate School of Systems and Information Engineering, University of Tsukuba

• Yasunaga Moritoshi

  Institute of Information Sciences and Electronics, Tsukuba University

• Yasunaga Moritoshi

  Graduate School Of Systems And Information Engineering University Of Tsukuba

• Yasunaga Moritoshi

  Institute Of Information Sciences And Electronics Tsukuba University

• Yasunaga Moritoshi

  The Institute Of Information Sciences And Electronics University Of Tsukuba

• Yasunaga Moritoshi

  Institute Of Information Science And Electronics University Of Tsukuba

• Yoshihara Ikuo

  Faculty Of Engineering Miyazaki University

• Zhu Hanxi

  Graduate School of Engineering, Miyazaki University

• Zhu H

  Graduate School Of Engineering Miyazaki University

• Kamimai Yoshiyuki

  Faculty Of Engineering University Of Miyazaki

• Yamamori Kunihito

  Faculty Of Engineering Miyazaki University

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