An Improved Neural Network Algorithm and Its Application on Enterprise Strategic Management Performance Measurement Based on Kirkpatrick Model

摘要

To evaluate the enterprises' strategic management performance scientifically and accurately, this paper proposes the improved BP neural network model based on Kirkpatrick model which imports the adjustable activation function and the Levenberg-Marquardt optimization algorithm. The improved model not only can simulate the expert in evaluating the strategic performance and avoiding the subjective mistakes in the evaluation process, but also enhance the learning accuracy and the algorithm convergence speed greatly. The strategic management performance evaluation of 14 enterprises in Hebei Province shows that the improved model is stable and reliable, and this method to evaluate the enterprises' strategic management performance is feasible.