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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2007 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: When time and foresight permit advance arrangement of loans, the act of borrowing can be made much simpler. When time is short and the need for the loan was not anticipated, the act of going through the process of borrowing may be so time-consuming that obtaining the loan may not be possible at all. Efforts are being made to develop expert system for analyzing credit risk in consumer loan to overcome these problems. Artificial neural networks (ANN) are used as expert system for credit risk analysis in consumer loan. Radial Basis Function (RBF), Recurrent Neural Network (RNN), and Backpropagation or Multilayer Perceptron (MLP) are the three most popular Artificial Neural Network (ANN) tools for the prediction task. We used both feed forward neural network and radial basis function neural network, back propagation algorithm to make the credit risk prediction. The network can be trained with available data to model an arbitrary system. The trained network is then used to predict the risk in granting the loan.
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Artificial intelligence advancements, machine intelligence innovations, and semantic web developments together make up semantic intelligence technologies. The edited book integrates artifi cial intelligence, machine learning, IoT, blockchain, and natural language processing with semantic web technologies. This book also aims to offer real-life solutions to the pressing issues currently being faced by semantic web technologies.
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Aggiungi al carrelloCondizione: New. M. Ghonge, Sandip Institute of Technology and Research Center, Nashik, India P. Nijalingappa, R. Ravi, S. Laddha and P. Chavan, India.Artificial intelligence advanceme.
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Artificial intelligence advancements, machine intelligence innovations, and semantic web developments together make up semantic intelligence technologies. The edited book integrates artifi cial intelligence, machine learning, IoT, blockchain, and natural language processing with semantic web technologies. This book also aims to offer real-life solutions to the pressing issues currently being faced by semantic web technologies.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2007 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: When time and foresight permit advance arrangement of loans, the act of borrowing can be made much simpler. When time is short and the need for the loan was not anticipated, the act of going through the process of borrowing may be so time-consuming that obtaining the loan may not be possible at all. Efforts are being made to develop expert system for analyzing credit risk in consumer loan to overcome these problems. Artificial neural networks (ANN) are used as expert system for credit risk analysis in consumer loan. Radial Basis Function (RBF), Recurrent Neural Network (RNN), and Backpropagation or Multilayer Perceptron (MLP) are the three most popular Artificial Neural Network (ANN) tools for the prediction task. We used both feed forward neural network and radial basis function neural network, back propagation algorithm to make the credit risk prediction. The network can be trained with available data to model an arbitrary system. The trained network is then used to predict the risk in granting the loan. 128 pp. Englisch.
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Lingua: Inglese
Editore: GRIN Verlag, GRIN Verlag Feb 2020, 2020
ISBN 10: 3346083667 ISBN 13: 9783346083661
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Master's Thesis from the year 2007 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: When time and foresight permit advance arrangement of loans, the act of borrowing can be made much simpler. When time is short and the need for the loan was not anticipated, the act of going through the process of borrowing may be so time-consuming that obtaining the loan may not be possible at all.Efforts are being made to develop expert system for analyzing credit risk in consumer loan to overcome these problems. Artificial neural networks (ANN) are used as expert system for credit risk analysis in consumer loan. Radial Basis Function (RBF), Recurrent Neural Network (RNN), and Backpropagation or Multilayer Perceptron (MLP) are the three most popular Artificial Neural Network (ANN) tools for the prediction task.We used both feed forward neural network and radial basis function neural network, back propagation algorithm to make the credit risk prediction. The network can be trained with available data to model an arbitrary system. The trained network is then used to predict the risk in granting the loan.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Consumer Loan Credit Risk Analyser Using Neural Networks | Shilpa Laddha | Taschenbuch | 128 S. | Englisch | 2020 | GRIN Verlag | EAN 9783346083661 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Anuradha D Thakare is a Professor in Department of Computer Engineering in Pimpri Chinchwad College of Engineering, Pune. She has more than 22 years of teaching and research experience. Anuradha received her Ph.D in Computer Science and .