BibTeX:

@article{IJIRSTV2I8019,
     title={Formulation and Comparison of Experimental Based Mathematical Model with Artificial Neural Network Simulation Model for Optimal Performance of Cotton Pre-Cleaning Machine},
     author={DR. Arvind B. Bodhe , Dr. J. F. Agrawal and Dr. V. S. Deshpande },
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={8},
     pages={23--27},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I8019.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Cotton is a natural vegetable fiber produced in many countries of the world. Cotton is the backbone and basic foundation of the world’s textile trade and industry. The cultivation and production of cotton and cloth had been the main agro based businesses in India. This paper presents the formulation and comparison of experimental based mathematical model with artificial neural network simulation model for optimal performance of cotton pre-cleaning machine. The appropriate generalized empirical model for cotton pre-cleaning operation is established. An approach of mini-max principal is used for minimizing process torque of spiked shaft.

Cotton Pre-Cleaner, Dimensional Analysis, Buckingham’s π theorem, ANN