Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
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In this paper, we report on a mathematical modeling of the passage dynamics we defined as the description of the environment through which the noise waves go before corrupting the speech signal in our implementation of a neuro-fuzzy system for noise cancellation [2,3,4]. We restricted our analysis in establishing rigourously that passage dynamics can be considered as linear dynamical systems under some limitations in introducing the concept of forced linear passage. Finally, we did some experiments to validate the theoretical results obtained from our analysis.