Parallel Design Based on Neural Network

Authors:
Shaobai Zhang;Xiefeng Cheng;Zhiquan Feng
Affiliations:
-;-;-
Venue:
AMT '01 Proceedings of the 6th International Computer Science Conference on Active Media Technology
Year:
2001

Citing 3
Cited 0

Code generation by a generalized neural network: general principles and elementary examples

Journal of Parallel and Distributed Computing - Neural Computing
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Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Concurrency within objects: layered approach

Information and Software Technology

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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 multi-layered neural network model and object-oriented techniques. An object-oriented 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.