Performance measurement for investment decision-making based on wavelet network model

Follow the trend of the combination of financial and non-financial measures of strategic performance measurement system. A performance measurement index system for investment decision-making was designed which consisted of six-measured, including financial condition, theological innovation, customers, business process, latent development capability, and social and environment protection. This index system is comprehensive flirtation combined by Benchmarking and Principal Component analysis. Wavelet network being better than neural network for solving nonlinear problems overcoming shortcomings of neural network's constringency with slow velocity and easily entering into local minimum, the performance evaluation model for investment decision-making based on wavelet network was devised. An empirical research of this model was done, based on the date from 10 projects in cooking industry, in 2000. The results showed the wavelet network training up to 7933 times with convergence precision of 0.001, taking 3.31 seconds.