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Comparing the predictive performance of a neural network model with some traditional market response models
6 references·16 citing·46 second hop
Comparing the predictive performance of a neural network model with some traditional market response models (1994)Comparing the predictive performance of a…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural Networks: A New Tool f…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…Time series forecasting using neural networks vs. Box- Jenkins methodology (1991)Time series forecasting using…Bond rating: a nonconservative application of neural networks (1988)Bond rating: a nonconservativ…Bond rating: A non-conservative application of neural networks (1988)Bond rating: A non-conservati…Application of interpretable machine learning models for the intelligent decision (2018)Application of interpretable …Improved market segmentation by fuzzifying crisp clusters: A case study of the energy market in Spain (2014)Improved market segmentation …ERP success prediction: An artificial neural network approach (2012)ERP success prediction: An ar…Mining the Banking Customer Behavior Using Clustering and Association Rules Methods (2010)Mining the Banking Customer B…Application of neural networks to recognize profitable customers for dental services marketing-a case of dental clinics in Taiwan (2007)Application of neural network…A neural clustering and classification system for sales forecasting of new apparel items (2006)A neural clustering and class…Shelf space assigned to store and national brands (2005)Shelf space assigned to store…A global forecasting support system adapted to textile distribution (2004)A global forecasting support …Forecasting consumer credit card adoption: what can we learn about the utility function? 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this work references cited by second hop

References

  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 1991Time series forecasting using neural networks vs. Box- Jenkins methodology407 cited
  • 1988Bond rating: A non-conservative application of neural networks268 cited
  • 1988Bond rating: a nonconservative application of neural networks213 cited

Cited by

  • 1999Using Neural Networks to Understand Service Risk in the Holiday Product150 cited
  • 2006A neural clustering and classification system for sales forecasting of new apparel items105 cited
  • 2018Application of interpretable machine learning models for the intelligent decision76 cited
  • 2004A global forecasting support system adapted to textile distribution53 cited
  • 2005Shelf space assigned to store and national brands45 cited
  • 2002Evaluating the Appropriateness of Market Segmentation Solutions Using Artificial Neural Networks and the Membership Clustering Criterion42 cited
  • 2003A short and mean-term automatic forecasting system––application to textile logistics40 cited
  • 2001The Interactive Effects of Strategic Marketing Planning and Performance: A Neural Network Analysis

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35 cited
  • 2012ERP success prediction: An artificial neural network approach35 cited
  • 2001Critical factors in consumer supermarket shopping behaviour: a neural network approach34 cited
  • 199618 Financial applications of Artificial Neural Networks33 cited
  • 2003Determining the appropriate amount of data for classifying consumers for direct marketing purposes31 cited
  • 2007Application of neural networks to recognize profitable customers for dental services marketing-a case of dental clinics in Taiwan28 cited
  • 2003Forecasting consumer credit card adoption: what can we learn about the utility function?27 cited
  • 2010Mining the Banking Customer Behavior Using Clustering and Association Rules Methods26 cited
  • 2014Improved market segmentation by fuzzifying crisp clusters: A case study of the energy market in Spain24 cited