Enhancement of quantum particle swarm optimization in elman recurrent network with bounded VMAX function
There are many drawbacks in BP network, such as trap into local minima and may get stuck at regions of a search space. To solve these problems, Particle Swarm Optimization (PSO) has been executed to improve ANN performance. In this study, we exploit errors optimization of Elman Recurrent Neural Netw...
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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•ளà¯: | , |
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| வடிவமà¯: | கடà¯à®Ÿà¯à®°à¯ˆ |
| மொழி: | English |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
Penerbit UTM Press
2016
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| பகà¯à®¤à®¿à®•ளà¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•லà¯: | http://eprints.utm.my/71207/ http://eprints.utm.my/71207/ http://eprints.utm.my/71207/1/MohamadFirdausAb2016_Enhancementofquantumparticleswarm.pdf |
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