Neural networks: applications in industry, business and science
Communications of the ACM
A new approach based on soft computing to accelerate the selection of new product ideas
Computers in Industry
A Neural Network Based Predictive Mechanism for Available Bandwidth
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks
Journal of Management Information Systems
A comparative analysis of artificial neural network technologies in intrusion detection systems
MIV'06 Proceedings of the 6th WSEAS International Conference on Multimedia, Internet & Video Technologies
Artificial neural network approaches to intrusion detection: a review
TELE-INFO'09 Proceedings of the 8th Wseas international conference on Telecommunications and informatics
Intelligent control of air traffic landing sequences
International Journal of Modelling and Simulation
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Epileptic seizure detection on EEG signal using statistical signal processing and neural networks
SENSIG'08 Proceedings of the 1st WSEAS international conference on Sensors and signals
A Feed-Forward Neural Network for Solving Stokes Problem
Acta Applicandae Mathematicae: an international survey journal on applying mathematics and mathematical applications
Artificial intelligence for decision making
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
A neuro-fuzzy inference system for the evaluation of new product development projects
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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The benefits of neural networks and the types of application for which they are suited are outlined. Four representative applications are described in enough detail to show how they work. They are character recognition, function estimation, financial forecasting, and process control. Factors that have slowed the acceptance of neural networks are discussed. Hardware is briefly considered