Based on principle of the traditional Hopfield neural network

an adaptive Hopfield neural network model with adaptive slope-adjusting method and adaptive bias-adjusting method has been put forward.The said model

combining with some advantages of traditional Hopfield neural network

can convert the invariables in Sigmoid function into adjustable parameters.The movement direction of said adjustabele parameters can automatically be adjusted

thus

the model can decrease oscilation in energy function and iterative steps

thereby

many multi-dimensional

non convex

and non-linear constrained optimization problems can be effectively solved.This method can be used for economic load dispatch in electric power system.Simulation results of several examples show that the said model to be effective and feasible.