• BENU SINGH
• DR.(PROF) SUNITA BANSAL

A genetic algorithm is a metaheuristic search method used in artificial intelligence and computing. a genetic algorithm is utilized to grow top-notch answers for improvement and pursuit issues by taking help of bio-operators such as natural selection, mutation and crossover. Genetic algorithms are excellent tools for searching through large and complex data sets. in 1980s joining ga and in came up. since both being autonomous computing methods, why shall we combine them? Since various parameters must be set before any preparation can begin in neural networking. However, there is no fixed method as how to set these parameters. for the success of the training these parameters are of prime importance. Genetic Algorithms And Neural Networks (GANN) are combined to find these parameters. the nature shows us that the accomplishment of an individual species isn't completely subject to her aptitudes and learning, yet additionally relies upon acquired genetic material This research paper talks about the improvement of GANN models for the examination of the sharpening procedure connected to a real mechanical segment that is the connecting pole of a motorbike. The surface standard of the sharpened parts is estimated with the assistance of a talysurf intra machine. Acknowledged measure of surface harshness is center line average (ra) by tradition. honing speed, honing feed, honing time, grit size, temperature of the coolant, and the experience of human operator are six process parameters considered as the input variables in whole honing process. the genetic algorithm neural network model have three to four layer structure. one is input layer, anther is yield layer and next is two concealed layer

Honing, Genetic Artificial Neural Network and Optimization.

"GENETIC MODELING AND OPTIMIZATION IN HONING PROCESS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.349-361, July-2018, Available :http://www.jetir.org/papers/JETIR1807771.pdf

"GENETIC MODELING AND OPTIMIZATION IN HONING PROCESS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp349-361, July-2018, Available at : http://www.jetir.org/papers/JETIR1807771.pdf