Development of an Artificial Neural Network Software for System Identification and Control

• Main Authors: Wei-Long Huang, 黃威龍
• Other Authors: Shih-Ming Yang
• Format: Others
• Language: en_US
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/93224170723039116009

碩士 === 國立成功大學 === 航空太空工程學系 === 87 === Development of an Artificial Neural Network Software for System Identification and Control Abstract It is known that backpropagation network requires long training time and is easily stuck in local minimum. To improve these disadvantages, the combination of neural network, quasi-Newton algorithm and genetic algorithm is integrated in the neural network software VIBNN. The purpose of this thesis is mainly to provide an integrated software for improving the training efficiency and accuracy of backpropagation network. A two-stage training algorithm is developed which includes the advantages of quasi-Newton algorithm and of genetic algorithm. Applications of the neural network software to system identification and vibration suppression in this thesis have been very successfully.