Neural Networks
Neural networks in business: techniques and applications for the operations researcher
Computers and Operations Research - Neural networks in business
Segmentation-based competitive analysis with MULTICLUS and topology representing networks
Computers and Operations Research - Neural networks in business
Information Systems Research
Computers and Operations Research - Special issue: Emerging economics
International Journal of Intelligent Systems in Accounting and Finance Management
International Journal of Intelligent Systems in Accounting and Finance Management
The use of data mining and neural networks for forecasting stock market returns
Expert Systems with Applications: An International Journal
IEEE Transactions on Neural Networks
Hi-index | 12.05 |
This study uses intelligent modeling techniques to examine the effect of various demographic, cognitive and psychographic factors on blood donation in Egypt. Two artificial neural network models (multi-layer perceptron neural network [MLP] and probabilistic neural network [PNN]) are compared to a standard statistical method (linear discriminant analysis [LDA]). The variable sets considered are sex, age, educational level, altruistic values, perceived risks of blood donation, blood donation knowledge, attitudes toward blood donation, and intention to donate blood. The paper shows how it is possible to identify various dimensions of blood donation behavior by uncovering patterns in the dataset, and also shows the classification abilities of two neural network techniques.