OPTIMIZATION OF ARTIFICIAL NEURAL NETWORK MODEL FOR IMPROVEMENT OF ARTIFICIAL INTELLIGENCE OF MANUALLY DRIVEN BRICK MAKING MACHINE POWERED BY HPFM P. A. Chandak1 and J. P. Modak2 1Department of Mechanical Engineering, DMIETR, Wardha (MH), India 2 Professor Emeritus, Dean (R&D), PCE, Nagpur(MH), India ABSTRACT Considerable development has been done by some authors of this paper towards development of manufacturing process units energized by Human Powered Flywheel Motor (HPFM) as an energy source. This machine system comprises three sub systems namely (i) HPFM (ii) Torsionally Flexible Clutch (TFC) (iii) A Process Unit. Process unit so far tried are mostly rural based such as brick making machine (both rectangular and keyed cross sectioned), Low head water lifting, Wood turning, Wood strips cutting, etc HPFM comprises pedalling system similar to bicycle, a speed rising gear pair and a flywheel big enough such that a young lad of 21-25 years, 165cm heigh...