Credit Rating Modelling By Neural Networks
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Credit Rating Modelling by Neural Networks
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.
Modeling and Simulation in Engineering, Economics, and Management
This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics, and Management, MS 2012, held in New Rochelle, NY, USA, in May/June 2012. The event was co-organized by the AMSE Association and Iona College. The 27 full papers in this book were carefully reviewed and selected from 78 submissions. In addition to these papers a summary of the plenary presentation given by Ronald R. Yager is also included. The book mainly focuses on the field of intelligent systems and its application to economics and business administration. Some papers have a stronger orientation towards modeling and simulation in these fields.
Artificial Intelligence: Theories, Models and Applications
This book constitutes the proceedings of the 7th Hellenic Conference on Artificial Intelligence, SETN 2012, held in Lamia, Greece, in May 2012. The 47 contributions included in this volume were carefully reviewed and selected from 81 submissions. They deal with emergent topics of artificial intelligence and come from the SETN main conference as well as from the following special sessions on advancing translational biological research through the incorporation of artificial intelligence methodologies; artificial intelligence in bioinformatics; intelligent annotation of digital content; intelligent, affective, and natural interfaces; and unified multimedia knowledge representation and processing.