Neural Networks in Business: Techniques and ApplicationsKate A. Smith, Jatinder N. D. Gupta Idea Group Inc (IGI), 01.01.2003 - 258 Seiten Neural Networks in Business: Techniques and Applications aims to be an introductory reference book for professionals, students and academics interested in applying neural networks to a variety of business applications. The book introduces the three most common neural network models and how they work, followed by a wide range of business applications and a series of case studies presented from contributing authors around the world. |
Inhalt
Neural Networks for Business An Introduction | 1 |
Predicting Consumer Retail Sales Using Neural | 26 |
Using Neural Networks to Model Premium Price Sensitivity | 41 |
A Neural Network Application to Identify HighValue | 55 |
Portugal | 70 |
Neural Networks for Target Selection in Direct | 89 |
Prediction of Survival and Attrition of ClickandMortar | 112 |
Corporate Strategy and Wealth Creation An Application | 124 |
Credit Scoring Using Supervised and Unsupervised Neural | 154 |
Predicting Automobile Insurance Losses Using | 167 |
Neural Networks for Technical Forecasting of Foreign | 189 |
Using Neural Networks to Discover Patterns in International | 205 |
Comparing Conventional and Artificial Neural | 220 |
Combining Supervised and Unsupervised Neural | 236 |
About the Authors | 245 |
| 255 | |
Andere Ausgaben - Alle anzeigen
Häufige Begriffe und Wortgruppen
algorithm approach architecture ARIMA models artificial neural networks automobile insurance average backpropagation bad credit Black-Scholes CHAID chapter cheque claim costs clients clusters compared confusion matrix corporate credit scoring data mining data preprocessing data set database deseasonalization detrending developed direct marketing discriminant analysis error exchange rates feedforward neural network Figure financial health financial ratios firms function future gain chart hidden layer hidden nodes International k-means Kohonen learning linear logistic regression loss Management measures methods MFNN neural network model neurons number of hidden number of neurons Operations Research out-of-sample parameters patterns percent percentage performance policy holders Pousadas Pousadas de Portugal prediction accuracy profitability relationships respondents retail sales sample seasonal segments Self-Organizing Maps series forecasting statistical strategy Systems Table techniques test set tool Total training data training set underwriting University unsupervised learning users validation set variables wealth creation
Verweise auf dieses Buch
Foreign-Exchange-Rate Forecasting with Artificial Neural Networks Lean Yu,Shouyang Wang,Kin Keung Lai Eingeschränkte Leseprobe - 2007 |
Business Applications and Computational Intelligence Kevin E. Voges,Nigel Pope Keine Leseprobe verfügbar - 2006 |