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Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
Chengdu, China
May 16, 2009 to May 17, 2009
ISBN: 978-0-7695-3614-9
pp: 555-558
BP algorithm is the typical supervised learning algorithm, so neural network cannot be trained on-line by it. For this reason, a new algorithm (TD-DBP), which was composed of temporal difference (TD) method and dynamic BP algorithm (DBP), was proposed to overcome the restriction. TD-DBP algorithm can make Elman network train on-line incrementally. The gradient descent momentum and adaptive learning rate TD-DBP algorithm can improve the training speed and stability of Elman network effectively. Using the collected real time data, the modified TD-DBP algorithm was able to realize direct multi-step predictions for vertical displacement of wave compensating platform.
Elman neural network; TD-DBP method; wave motion compensation; prediction

Y. Jiawei and Z. Zhigang, "Multi-step Predictions for Vertical Displacement of Wave Compensating Platform Based on ELMAN Neural Network," 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)(PACCS), Chengdu, 2009, pp. 555-558.
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