摘要
本文用神经网络的方法来探讨投资分配问题，即探讨怎样将有限的投资 资金合理地分配到相互关联的各个投资领域，以使投资收益最大的问题 同时也涉及了多元投资预测和最小投资方案等优化问题。
A Neural networks methoed is presented in this paper to solve investing allotment problem,which is about how to invest the limited funds to different relative areas for maximal gains. In addition,the multi-dimensional investment forecasting problem and the optimal allotment problem for minimal investing funds are also discussed.
出处
《系统工程》
CSCD
2000年第1期67-70,共4页
Systems Engineering
关键词
神经网络
投资分配
优化问题
neural networks, investment, optimal,allotment
