Comparison of Mlp & Rfb Neural Network Performance Along With Intelligence Learning Algorithms In Rotary Equipment Selection (compressor)

In the various industries due to sensitivity of rotary equipments are stand in high level of importance and price which this matter is more significant in oil and gas industries. Hence, experts for selection of a rotary equipment (compressor in this paper) need to use many references, standards and for error reduction of correct equipment selection. In this paper it is intended to propose a rotary equipment selection method with the minimum error by using various standards and intelligent and Meta heuristic algorithms.