A practical guide to neural nets
A practical guide to neural nets
Essence of Neural Networks
Fundamentals of Artificial Neural Networks
Fundamentals of Artificial Neural Networks
Computers and Operations Research
Journal of Management Information Systems - Special section: Data mining
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
A Meta heuristic approach for performance assessment of production units
Expert Systems with Applications: An International Journal
Integrating web mining and neural network for personalized e-commerce automatic service
Expert Systems with Applications: An International Journal
An expert system for perfume selection using artificial neural network
Expert Systems with Applications: An International Journal
Design and development of logistics workflow systems for demand management with RFID
Expert Systems with Applications: An International Journal
Development and performance evaluation of neural network classifiers for Indian internet shoppers
Expert Systems with Applications: An International Journal
A case study of applying LRFM model in market segmentation of a children's dental clinic
Expert Systems with Applications: An International Journal
An overview of the use of neural networks for data mining tasks
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Hi-index | 12.06 |
The economic in Taiwan has been dramatically improved in the last two decades. During this period, the national health insurance was first conducted in 1995 and plans of health insurance payment have been modified several times. Demands of high quality and service on medical care are brought up in consumers' mind. Nowadays, hospital operating environment is getting more and more competitive. Therefore, how to take the advantage of competitiveness is the urgent topic of gaining advantage of competitiveness. The research applied neural network to classify consumers' behavior in choosing hospitals. A quantitative research of questionnaire was first conducted to explore consumers' behavior in choosing hospitals in southern Taiwan. Factors of consumers' behavior were categorized into four types. Then, a back propagation neural network classification model was developed. The model demonstrates the usefulness of 85.1% classification rate in classifying consumers' styles. Finally, their marketing implications were discussed. Based on the results of the research, the evidence is enough to suggest that the neural network model is useful in identifying existing patterns of hospitals' consumers.