Abstract
In this paper, the self-organizing relationship (SOR) network with fuzzy inference based evaluation is proposed. The SOR network can extract a desired I/O relationship using I/O vector pairs and their evaluations. The evaluations can be given by a user or calculated by the evaluation function. However, in many applications, it is difficult to calculate the evaluation using simple functions. It is effective to employ fuzzy inference for evaluating the I/O vector pairs. The proposed system is applied to design the trailer-truck back-up controller, and experimental result is easily realized with some fundamental fuzzy if-then rules.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kohonen, T.: Self-organizing formation of topologically correct feature map. Biol. Cybern. 43, 59–69 (1982)
Kohonen, T.: Self-organizing maps. Springer, Heidelberg (1995)
Lippmann, R.P.: Pattern Classification Using Neural Networks. IEEE Communication Magazine 27(11), 47–50 (1989)
Tokutaka, H., Fujimura, K., Iwamoto, K., Kishida, S., Yoshihara, K.: Application of Self-Organizing Maps to a Chemical Analysis. In: Proc. of Int. Joint Conf. on Neural Information Processing, vol. 2, pp. 1318–1321 (1997)
Yamakawa, T., Horio, K.: Self-organizing relationship (SOR) network. IEICE Trans. on Fundamentals E82-A, 1674–1678 (1999)
Horio, K., Yamakawa, T.: Adaptive Self-Organizing Relationship Network and Its Application to Adaptive Control. In: Proc. of the 6th Int. Conf. on SoftComputing and Information/Intelligent Systems (IIZUKA 2000), pp. 299–304 (2000)
Nguyen, D., Widrow, B.: The truck backer-upper: an example of self-learning in neural nerwork. In: Proc. of IJCNN 1989, pp. 357–363 (1989)
Kong, S.G., Kosko, B.: Adaptive fuzzy-systems for backing-up a truck-andtrailer. IEEE Trans. on Neural Networks 3(2), 211–223 (1992)
Tanaka, K., Sano, M.: A robust stabilization problem of fuzzy control systems and its application to backing up control of a truck-trailer. IEEE Trans. on Fuzzy Systems 2(2), 119–133 (1994)
Mizumoto, M.: Fuzzy controls by product-sum-gravity method. Advancement of Fuzzy Theory and Systems in China and Japan, International Academic Publishers, c1.1-c.1.4 (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Koga, T., Horio, K., Yamakawa, T. (2004). Self-organizing Relationship (SOR) Network with Fuzzy Inference Based Evaluation and Its Application to Trailer-Truck Back-Up Control. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_56
Download citation
DOI: https://doi.org/10.1007/978-3-540-30499-9_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23931-4
Online ISBN: 978-3-540-30499-9
eBook Packages: Springer Book Archive