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.
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© 2001 Springer-Verlag Berlin Heidelberg
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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
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DOI: https://doi.org/10.1007/3-540-45336-9_33
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