Neural Networks
Neural networks for pattern recognition
Neural networks for pattern recognition
Bankruptcy prediction using neural networks
Decision Support Systems - Special issue on neural networks for decision support
Interpreting the Kohonen self-organizing feature map using contiguity-constrained clustering
Pattern Recognition Letters
Using neural networks for data mining
Future Generation Computer Systems - Special double issue on data mining
A new approach to evaluating business ethics: an artificial neural networks application
Journal of End User Computing
Fuzzy neural networks with application to sales forecasting
Fuzzy Sets and Systems
Modeling the relationship between corporate strategy and wealth creation using neural networks
Computers and Operations Research - Neural networks in business
Data mining: concepts and techniques
Data mining: concepts and techniques
Reliable classification using neural networks: a genetic algorithm and backpropagation comparison
Decision Support Systems
Extending the Kohonen self-organizing map networks for clustering analysis
Computational Statistics & Data Analysis
Self-Organizing Maps
Effective Data Mining Using Neural Networks
IEEE Transactions on Knowledge and Data Engineering
How to make large self-organizing maps for nonvectorial data
Neural Networks - New developments in self-organizing maps
Evaluation of decision trees: a multi-criteria approach
Computers and Operations Research
Expanding self-organizing map for data visualization and cluster analysis
Information Sciences: an International Journal - Special issue: Soft computing data mining
Unsupervised clustering for nontextual web document classification
Decision Support Systems
ACODF: a novel data clustering approach for data mining in large databases
Journal of Systems and Software - Special issue: Performance modeling and analysis of computer systems and networks
Credit rating analysis with support vector machines and neural networks: a market comparative study
Decision Support Systems - Special issue: Data mining for financial decision making
Using Multivariate Statistics (5th Edition)
Using Multivariate Statistics (5th Edition)
Evaluation of adaptive neural network models for freeway incident detection
IEEE Transactions on Intelligent Transportation Systems
Some new indexes of cluster validity
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Clustering of the self-organizing map
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
Review article: A review of soft computing applications in supply chain management
Applied Soft Computing
Knowledge integration on fresh food management
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
A two-stage dynamic sales forecasting model for the fashion retail
Expert Systems with Applications: An International Journal
Building comprehensible customer churn prediction models with advanced rule induction techniques
Expert Systems with Applications: An International Journal
A vector forecasting model for fuzzy time series
Applied Soft Computing
Expert Systems with Applications: An International Journal
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
A hybrid artificial intelligence sales-forecasting system in the convenience store industry
Human Factors in Ergonomics & Manufacturing
Expert Systems with Applications: An International Journal
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The Textile-Apparel-Distribution network actors require a very accurate production and sourcing management to minimize their costs and satisfy their customers. For a such strategy, distributors rely on sales forecasting system to respond to the versatile textile market. However, the specific constraints of the textile sales (numerous and new items, short lifetime) complicate the forecasting procedure and distributors prefer to use intuitive estimation methods of the sales rather than the existing forecasting models. We propose a decision aid system, based on neural networks, which automatically performs item sales forecasting. Performances of our model are evaluated using real data from an important French textile distributor.