It takes the average reader to read Credit Rating Modelling by Neural Networks by Petr Hájek
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This book presents the modelling possibilities of neural networks on a complex real-world problem, i.e. credit rating process modelling. Current approaches in credit rating modelling are introduced, as well as the incorporation of previous findings on corporate and municipal credit rating modelling. Based on this analysis, the model is designed to classify US companies and municipalities into credit rating classes. The model includes data pre-processing, the selection process of input variables, and the design of various neural networks' structures for classification.
Credit Rating Modelling by Neural Networks by Petr Hájek is 0 pages long, and a total of 0 words.
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The average oral reading speed is 183 words per minute. This means it takes to read Credit Rating Modelling by Neural Networks aloud.
Credit Rating Modelling by Neural Networks is suitable for students ages 2 and up.
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