COMPARISON OF PERFORMANCES OF FUZZY LOGIC WITH ECHOSTATE NEURAL NETWORK FOR DIAGNOSIS AND PROGNOSIS OF SINGLE POINT TOOL WEAR ESTIMATION USING HYBRID ALUMINIUM SILICON CARBIDE METAL MATRIX COMPOSITE