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

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

Content Provider	Semantic Scholar
Author	Cao, Zhi-Peng
Copyright Year	2017
Abstract	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 eco-nomic conditions. In view of this, this paper proposes 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 individuals from 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. The method proposed in this paper can be generalized to evaluation of other similar investment decision-making schemes. abst ract Investment Decision-making Scheme Evaluation Method based on Multiobjective Neural Network / Método de avaliação do processo de decisão de investimento com base na rede de neurônios multi-objetivos
Starting Page	3448
Ending Page	3451
Page Count	4
File Format	PDF HTM / HTML
DOI	10.1166/jctn.2017.6649
Volume Number	14
Alternate Webpage(s)	http://www.pbpublishing.com.br/uploads/PublishedContent/BT/V60/34.V60P305-311.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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