DintecomNeuroFLExSys
2003
Neural Network-based Data Mining and Fuzzy Logic Expert System Software/Service.
Neural networks and fuzzy logic control systems are both numerical model-free estimators and dynamic systems. They share the common ability to deal with difficulties arising from uncertainty, imprecision, and noise in the natural environment.
NeuroFLExSys is a neuro-fuzzy hybrid system. It is a fuzzy logic expert system implemented as a feedforward multi-layer neural network. Neural network allows for the system learning and noise tolerance.
Fuzzy logic provides for the neural network's manageable structure and eliminates opacity of its internal layers. In addition, NeuroFLExSys allows to introduce high level thinking into neural networks by manually presetting some expert rules.
Neural networks and fuzzy logic control systems are both numerical model-free estimators and dynamic systems. They share the common ability to deal with difficulties arising from uncertainty, imprecision, and noise in the natural environment.
NeuroFLExSys is a neuro-fuzzy hybrid system. It is a fuzzy logic expert system implemented as a feedforward multi-layer neural network. Neural network allows for the system learning and noise tolerance.
Fuzzy logic provides for the neural network's manageable structure and eliminates opacity of its internal layers. In addition, NeuroFLExSys allows to introduce high level thinking into neural networks by manually presetting some expert rules.
