L-Type Gantry Crane’s System Based on BP Network and Genetic Algorithm
نویسندگان
چکیده
A kind of parametric finite element analysis system for the L type gantry crane’s gate frame is developed by making use of the secondary development on the platform of ANSYS, MATLAB through VC++ programming. The interface technology of VC++, ANSYS, and MATLAB is employed as well as the encapsulation on APDL. To input parameter in the VC++ and to calculate the quality of the L type gantry crane so as to obtain the network training specimens constituted with 20 sets of parameters. The BP network is used to establish the mapping relationship which provides the adaptability function for the genetic algorithm. The genetic algorithm is adopted to accomplish the quality optimization. Then the ANSYS software is employed to simulate the optimized L type gantry crane. The results of the optimization and simulation show that the overall performance of the L type gantry crane is improved dramatically. Copyright © 2013 IFSA.
منابع مشابه
Predicting air pollution in Tehran: Genetic algorithm and back propagation neural network
Suspended particles have deleterious effects on human health and one of the reasons why Tehran is effected is its geographically location of air pollution. One of the most important ways to reduce air pollution is to predict the concentration of pollutants. This paper proposed a hybrid method to predict the air pollution in Tehran based on particulate matter less than 10 microns (PM10), and the...
متن کاملEstimation of groundwater level using a hybrid genetic algorithm-neural network
In this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, Iran. After initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (GA-BP) should be able to reproduce groundwater ...
متن کاملEstimation of groundwater level using a hybrid genetic algorithm-neural network
In this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, Iran. After initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (GA-BP) should be able to reproduce groundwater ...
متن کاملPrediction of Driver’s Accelerating Behavior in the Stop and Go Maneuvers Using Genetic Algorithm-Artificial Neural Network Hybrid Intelligence
Research on vehicle longitudinal control with a stop and go system is presently one of the most important topics in the field of intelligent transportation systems. The purpose of stop and go systems is to assist drivers for repeatedly accelerate and stop their vehicles in traffic jams. This system can improve the driving comfort, safety and reduce the danger of collisions and fuel consumption....
متن کاملModeling of measurement error in refractive index determination of fuel cell using neural network and genetic algorithm
Abstract: In this paper, a method for determination of refractive index in membrane of fuel cell on basis of three-longitudinal-mode laser heterodyne interferometer is presented. The optical path difference between the target and reference paths is fixed and phase shift is then calculated in terms of refractive index shift. The measurement accuracy of this system is limited by nonlinearity erro...
متن کامل