Fuzzy Expert Systems Tools
Fuzzy Control
Real-time neuro-fuzzy digital filtering: basic concepts
WSEAS Transactions on Systems and Control
Evolutive neural fuzzy filtering: real time constrains
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
Matrix inverse operation convolution: three models description
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
Evolutive neural fuzzy filtering: an approach
WSEAS Transactions on Systems and Control
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This paper describes the Real-time Fuzzy Digital Filters (RTFDF) considering for it the fuzzy logic description (to see: [1], [3], [9], [11], [14], [15], [16], [20], [21]), adaptive digital filters concepts (to see: [2], [5], [11] and [19]) with Real-time properties (to see: [12], [13] and references in it). The main characteristic operation of this kind filter is a region knew as linguistic natural knowledge base. Illustratively, the output signals system are classified with respect to desired answer in linguistic natural form (to see: [12] and [19]), requiring to establish the membership function set with respect to these for the characterization in computational sense as nature linguistic [3]. The RTFDF needs a group of rules inside of the knowledge base (in mathematical sense using logic connectors (IF....THEN...) in agreement to [19]). Novel RTFDF description considered quality answer into natural languages, and the interaction time restrictions with adaptive properties. The basic results described in this document in formal sense, using the set definitions developed in the papers referenced below without forgetting the Nyquist, Shannon, Zadeh and Passino criteria into convolution filter scheme ([7], [16], [18] and [21]).