Accepting Subset States in Neural Networks Optimization

We are to present an intuitive and basic approach towards the optimization of neural networks according to determinism theory which was basically abstracted by Rabin-Scott’s subset construction, our practical method shows the prolonged advancement in neural networks simulation using this proof according to the underlying optimization, speed-up or heuristics