Application of Improved BP Neural Network in Software Energy Consumption Analysis

This paper proposes a modeling of energy consumption in embedded software architecture level based on the software characteristic.It contains the idea that there is non-linear relationship between software characteristic and software energy consumption.And it presents a new BP neural network algorithm based on improved genetic algorithm to train and simulate the function.This algorithm takes three aspects into consideration to improve the genetic algorithm in order to enhance the simulation effect.Experimental results show that the deviation between the predictive value of energy consumption model based on this algorithm and the actual energy consumption value is smaller.