Proceedings of the Korean Society of Precision Engineering Conference (한국정밀공학회:학술대회논문집)
- 1993.10a
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- Pages.488-492
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- 1993
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- 2005-8446(pISSN)
Blending Precess Optimization using Fuzzy Set Theory an Neural Networks
퍼지 및 신경망을 이용한 Blending Process의 최적화
Abstract
This paper proposes a new approach to the optimization method of a blending process with neural network. The method is based on the error backpropagation learning algorithm for neural network. Since the neural network can model an arbitrary nonlinear mapping, it is used as a system solver. A fuzzy membership function is used in parallel with the neural network to minimize the difference between measurement value and input value of neural network. As a result, we can guarantee the reliability and stability of blending process by the help of neural network and fuzzy membership function.
Keywords