원문정보
A study on the possibility of improving the parameter learning performance of the multilayer perceptron using the particle swarm optimization algorithm
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초록
영어
In this paper, a study was conducted on the methodology for learning the parameters of a neural network using an evolutionary algorithm such as a particle swarm optimization algorithm. The possibility of using the particle swarm optimization algorithm for deep learning was analyzed, and various methods were considered for practical use.
목차
Abstract
Introduction
Particle Swarm Optimization
Alternative Parameter Training of Deep Learning Architecture using Particle Swarm Optimization
Acknowledgments
Conclusion
References
Introduction
Particle Swarm Optimization
Alternative Parameter Training of Deep Learning Architecture using Particle Swarm Optimization
Acknowledgments
Conclusion
References