Multi-targets Priority Ordering Based on Fuzzy Neural Networks

HONG-BIN ZHANG, YAN-QIU JU, SHAO-JIE ZHANG, CHI QI

Abstract


Application of fuzzy neural networks in multi-targets priority ordering is introduced in this paper. Based on the establishing of multi-targets ordering model, the multi-targets priority ordering sets, the structure and parameters for fuzzy neural networks are given in the course of multi-targets priority ordering. It has made very pleased result through experiment of certain type multi-targets priority ordering, and it is important to helicopters detective sensors management. The application of fuzzy neural networks has a good reference to multi-targets priority ordering in helicopters detective sensors management.

Keywords


Multi-targets, Priority ordering, Fuzzy neural networks, Model, Sensors management.Text


DOI
10.12783/dtcse/cmsms2018/25259

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