Investment Decision-Making Scheme Evaluation Method Based on Multi-Objective Neural Network

摘要

As the investment directions and importance of high-tech enterprises increased largely, it is especially important to choose the most appropriate and effective investment for high-tech enterprises according to national conditions and economic conditions. In view of this, this paperproposes and constructs an investment decision-making scheme evaluation method of high-tech enterprises based on multi-objective neural network. First of all, two evaluation indexed were defined. Then, local search was applied to merge parent group and descendant group. Only those individualsfrom the first Pareto front could be optimized. The feasibility of the method was verified by investment decision-making scheme evaluation example of commercial bank. The results show that investment decision-making scheme B can best balance initial investment and capacity elasticity. Themethod proposed in this paper can be generalized to evaluation of other similar investment decision-making schemes.