根據油品調合的特點，應用人工神經網絡(Neural Network，NN)對油品在線優化調合
系統進行建模， 并采用量化正交遺傳算法(Orthogonal Genetic Algorithm with Quantization，OGA/Q)對神經網絡模型進行學習。提出了用于油品在線優化調合系統的人工神經網絡適宜的拓撲結構，給出了量化正交遺傳算法優化的具體執行過程，實現了系統的主要功能，該系統已經廣泛地應用于生產實踐中。
關鍵詞：神經網絡；在線優化；油品調合；量化正交遺傳算法
A Novel Intelligent Control Approach Based on NN and OGA/Q Zhang changnian1, 2
(1 School of Information Engineering, University of Science and Technology Beijing, Beijing, 100083, China) (2 Department of Computer, Guilin College of Aerospace Technology, Guilin 541004, China) Abstract: According to the characteristics of oil blending, develop the on-line optimization of oil blending system using the artificial neural network, and then train the neural network model by the orthogonal genetic algorithm with quantization. The artificial neural network topology for the on-line optimization of oil blending system is proposed in this work. The implementation process of orthogonal genetic algorithm with quantization is introduced in this paper too. The major function of oil blending system is achieved, and this system is wildly applied to the practice.
Keywords: neural network; on-line optimization; oil blend; orthogonal genetic algorithm with
quantization