Abstract
We propose a mode-utilizing developmental learning method. Thereby a system possesses a mode parameter and learns similar or advanced tasks incrementally by using its cumulative skill. We construct the system based on the coherent neural network where we choose its carrier frequency as the mode parameter. In this demonstration, we assume two tasks: basic and advanced. The first is to ride a bicycle as long as the system can before it falls. The second is to ride as far as possible. It is demonstrated that the system finds self-organizingly a suitable value of the mode parameter in the second task learning. The learning is performed efficiently to succeed in riding for a long distance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Omori, T., Mochizuki, A., Mizutani, K.: Emergence of symbolic behavior from brain like memory with dynamic attention. Neural Networks 12, 1157–1172 (1999)
Omori, T., Mochizuki, A.: PATON: A model of context dependent memory access with an attention mechanism. In: Brain Processes, Theories and Models, pp. 134–143. MIT Press, Cambridge (1995)
Wolpert, D.M., Kawato, M.: Multiple paired fotward and inverse models for motor control. Neural Networks 11, 1317–1329 (1998)
Hartono, P., Hashimoto, S.: Temperature switching in neural network ensemble. J. Signal Processing 4, 395–402 (2000)
Hirose, A., Eckmiller, R.: Coherent optical neural networks that have opticalfrequency- controlled behavior and generalization ability in the frequency domain. Appl. Opt. 35(5), 836–843 (1996)
Hirose, A., Tabata, C., Ishimaru, D.: Coherent neural network architecture realizing a self-organizing activeness mechanism. In: Proc. of Int’l Conf. on Knowledge-based Eng. Sys. KES 2001, Osaka, September 6-8, 2001, pp. 576–580 (2001)
Hirose, A., Ishimaru, D.: Context-dependent behavior of coherent neural systems based on self-organizing mapping of carrier frequency values. In: Proc. of Int’l Conf. on Knowledge-based Engineering Systems KES 2002, Crema, September 16-18, 2002, pp. 638–642 (2002)
Kawata, S., Hirose, A.: Coherent lightwave neural network systems. In: Hirose, A. (ed.) Complex- Valued Neural Networks: Theories and Appliactions. The Series on Innovative Intelligence, World Scientific Publishing Co., Singapore (2003)
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
Hirose, A., Asano, Y., Hamano, T. (2004). Mode-Utilizing Developmental Learning Based on Coherent Neural Networks. 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_17
Download citation
DOI: https://doi.org/10.1007/978-3-540-30499-9_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23931-4
Online ISBN: 978-3-540-30499-9
eBook Packages: Springer Book Archive