Application of Neural Network to Business Evaluation

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  • 経営分析へのニューラルネットワークの適用
  • ケイエイ ブンセキ エ ノ ニューラル ネットワーク ノ テキヨウ

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Abstract

The main purpose of this paper is to build a business evaluation system based on the experts' knowledge and experiences through a neural network which realizes non-linear discrimination and generalization. In the modeling of business evaluation using business evaluation cases, the neural network is taught the input of 5 financial indices and the output of 4 clusters, whose classification is given by experts based on the financial indices. Furthermore, an enhanced method for learning algorithm is proposed in order to shorten the learning time to a larger extent than a conventional method. By its use in the discrimination of samples generated by an exclusive OR and a sine curve, its effectiveness is shown to shorten their learning cycles up to 70% and 50%, respectively. Lastly, we show the effectiveness of the enhanced neural network model for business evaluation to assess the corporations of industrial equipment using real data.

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