The expansion of societies and an increase in vehicles have led to realizing many waste tires annually in almost all countries. These tires enter environment and cause serious problems. In some cases, soils should be improved for the use in geotechnical projects. These factors may come together, leading to finding appropriate applications of waste tires. Given the important role that the aspect ratio on shear strength of sand chips in this investigation and study author with the help of artificial neural network to predict the optimal aspect ratio pays rubber chips. In this study, using the results of direct shear tests were carried out on sandy soil reinforced with rubber chips to within 2 cm and a length to width ratio 30.15% by volume and 50 different three chips, with two different density, an artificial neural network built to predict the strength parameters sandy soils reinforced with chips tires with a width of 3 and 4 cm with an aspect ratio of 1 to 14 with hundreds of letters of 15 and 30 and 50 deals with the aspect ratio optimally offers. Forecast neural network demonstrates the length to width ratio rubber chips are effective shear strength parameters of the concrete sand, so that only a certain width to any length to width ratio can have a maximum of shear strength parameters.