Logic programming and knowledge engineering
Logic programming and knowledge engineering
Fuzzy Control
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
RTFDF description for ARMA systems
FS'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Fuzzy Systems - Volume 8
Real-time neuro-fuzzy digital filtering: basic concepts
WSEAS Transactions on Systems and Control
Real-time learning capability of neural networks
IEEE Transactions on Neural Networks
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In this paper, we describe the evolutive neural fuzzy filtering properties with real time conditions, giving the principles of its operation based on a back propagation fuzzy neural net, which adaptively choose and emit a decision according with the reference signal changes in order to loop the correct new conditions for a process. This work is an approach about the evolutive neural fuzzy digital filters (ENFDF). This filter using the neural fuzzy mechanism select the best parameter values into the knowledge base (KB), actualizing the filter weights to give a good enough answers with respect to the reference signal in natural linguistic sense. Additionally, the filtering architecture includes a decision making stage using an inference into its structure to deduce the filter decisions in accordance with the previous and actual filter answer in order to updates the new decision with respect to the new reference system conditions. This process requires that all of its states bound into ENFDF time limit as a real time system, considering the Nyquist and Shannon criteria. In this paper, we characterize the membership functions building the knowledge base in a probabilistic way with respect to the rules set inference to describe the reference system and the inference to deduce the new filter decision, performing the ENFDF. Moreover, the paper describes in schematic sense the neural net architecture with the decision-making stages in order to integrate the filtering stages as an evolutive system. The results expressed in formal sense using the concepts into the paper references. Finally, we present the simulation of the ENFDF operation using the Matlab© software. The paper has eight sections conformed as follows: 1. Introduction, 2. Filtering conditions, 3. Neural net description, 4. Rule base strategy, 5. Real time scheme, 6. Simulations, 7.Conclusion and References.