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.