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To date, using model to predict whether firm's default is still a problem. It presents: a. most model using pairwise pattern; b. lack of qualitative indexes that affect firm's default; c. asymmetric between normal firm's misclassification costs and default firm's. So, introducing qualitative indexes, using all samples and considering misclassification costs, this paper builds an artificial neural...
Prostate cancer is a disease which is the most common and which is also the second deadly in men. When prostate cancer can be diagnosed early, medical surgery operation can be performed and the disease can be treated. In this study, the aim is to design a classifier based expert system for early diagnosis of the organ in constraint phase. The other purpose is to reach informed decision making without...
Research on stock company comprehensive assessment has always been an important focus for economists and computer experts. In this paper, the financial indexes reflecting the comprehensive capability of stock companies as main research objects including income per thigh, clean asset per thigh, profit rate of clean asset, Kohonen network with the advantage of clustering is applied to assess for stock...
In a classification problem, the most difficult decision is to choose the artificial neural network (ANN) architecture that offers the best results. In this paper we present a method that permits to quickly evaluate the degree of overlapping between classes. Once we know this degree, we can easily choose the appropriate ANN architecture.
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