Future Research

In this dissertation, by combining the SOM with the dynamic model, the SOM is able to tackle the spatiotemporal data. The SOM has been applied to search optimal parameters for dynamic systems. To further exploit its search ability, in one of the future works, we will apply the NSOMS for system identification and control problems. Because the current searching process includes the weight updating rules and the parameters of learn-ing, it is not easy to appropriate the learning rate, number of neurons, and termination criteria. Although these parameters can be selected through a trial-and-error process, the time response of the learning affects the performance of the dynamic systems for system identification and control problems. Thus, we will also discuss the convergence issue in details. As the SOM also possesses an appealing feature in responding to distinct proper-ties exhibited by the input data through forming several corresponding clusters, another worthwhile future work will be to extend the proposed NSOMS for a wide application such as image processing, speaker recognition, machine learning, and others.

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Vita

[1] Y.Y. Chen and K.Y. Young, “An SOM-Based Algorithm for Optimization with Dynamic Weight Updating,” International Journal of Neural Systems, Vol. 17(3), pp. 171-181, 2007.

[2] Y.Y. Chen and K.Y. Young, “An Intelligent Radar Predictor for High-Speed Moving-Target Tracking,” International Journal of Fuzzy Systems, Vol. 6(2), pp.

90-99, 2004.

國際會議論文

[1] Y.Y. Chen and K.Y. Young, “An SOM-Based Search Algorithm for Dynamic Systems,” 9th Joint Conference on Information Sciences, pp. 1212-1215, 2006.

[2] Y.Y. Chen and K.Y. Young, “Applying SOM as a Search Mechanism for Dynamic System,” pp. 4111-4116, IEEE Conference on Decision and Control, 2005.

[3] Y.Y. Chen and K.Y. Young, “An Intelligent Radar Predictor for High-Speed Moving-Target Tracking,” IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering Proceedings, pp. 1638-1641, 2002.

國內會議論文

[1] Y.Y. Chen and K.Y. Young, “智慧型雷達預估器於追蹤高速運動目標之研究,”

Ninth National Conference on Fuzzy Theory and its Applications, pp. 598-603, 2001.

[2] Y.Y. Chen and K.Y. Young, “智慧型雷達預估器於高速多目標之追蹤,” Tenth National Conference on Fuzzy Theory and its Applications, pp. 5-10, 2002.