Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 1999.06a
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- Pages.460-463
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- 1999
Optimization of Block-based Evolvable Neural Network using the Genetic Algorithm
유전자 알고리즘을 이용한 블록 기반 진화신경망의 최적화
Abstract
In this paper, we proposed an block-based evolvable neural network(BENN). The BENN can optimize it's structure and weights simultaneously. It can be easily implemented by FPGA whose connection and internal functionality can be reconfigured. To solve the local minima problem that is caused gradient descent learning algorithm, genetic algorithms are applied for optimizing the proposed evolvable neural network model.
Keywords