OPTIMIZATION OF ARTIFICIAL NEURAL NETWORK MODEL FOR IMPROVEMENT OF ARTIFICIAL INTELLIGENCE OF MANUALLY DRIVEN BRICK MAKING MACHINE POWERED BY HPFM