Abstract
This paper, first, analyzes the problem about alternative models in parallel process; Secondly, present a neural network architecture and learning algorithm; Finally, discuss parallel software design method based on multilayered neural network model and object-oriented techniques. An objectoriented approach to the initial analysis and design of a solution model provided the benefits of data abstraction and encapsulation which aided in the identification and modeling of the parallelism inherent in the problem domain.
This is a preview of subscription content, log in via an institution to check access.
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
J.J. Hopfield, “Neurons with Graded Response Have Collective Computational Properties like Those of Two-state Neurons”, proc. of the National Academy of Science USA,81, 1984.
Mcclelland J.L., Rummelhart D.E., and the PDP Research Group, “parallel Distributed Processing” Vol. I and Vol. II, MIT Press, 1986.
Corradi, A and Leonardi, L “Concurrency within objects: Layered approach” Inform. Software Technology. Vol.33No.6, 1997.
Booch. G “Object-oriented development” IEEE Trans. Software Eng. Vol. SE-12,NO.2, 1996.
Funabiki N. and Takefuli Y., “a parallel algorithm for channel routing problems”, IEEE Trans, on CAD. 10,12.1991.
Tan Ran, Xue shengjun, “An Autonomous Agent and Recognition Based on Selforganizing Neural Architecture”, Proceedings of International Workshop on CSCW in Design, 1996
G.C. Fox & J.G. Koller,“Code Generation by a Generalized Neural Network: General Principles and Elementary Examples”, J. of Parallel and Distributed Computing 6,1989.
P.P. chu, “ On Neural Networks for Solving Optimization Problems”. Proc. of the 4th ISMM Int. Conf. on Parallel and Distributed Computing and Systems, Washington, D.C. 1999.
J.J. Hopfield & D.W. Tank“Neural Computation of Decisions in Optimization Problem”, Biological Cybernetics,52,1985.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, S., Cheng, X., Feng, Z. (2001). Parallel Design Based on Neural Network. In: Liu, J., Yuen, P.C., Li, Ch., Ng, J., Ishida, T. (eds) Active Media Technology. AMT 2001. Lecture Notes in Computer Science, vol 2252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45336-9_33
Download citation
DOI: https://doi.org/10.1007/3-540-45336-9_33
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43035-3
Online ISBN: 978-3-540-45336-9
eBook Packages: Springer Book Archive