The qualnet kernel and api structure were carefully designed to facilitate development , making it easy for a user to develop custom parallel models 结构经过认真的设计,以便于开发,对于开发定制的并行模型的用户来说非常简单。
At last , this paper uses the rbf neural network that was optimized by the mentioned parallel model to predict the value of some nonlinear functions and the close of several stocks 最后,本文应用上述并行模型优化的rbf神经网络对非线性函数值以及证券个股收盘价进行预测。
Basing on the muti - threads parallel model on shered memory , we make some research and test of program parallelization on source code level and intermediate representation level 根据基于共享内存方式的多线程并行模型,对于在源代码级和中间代码级进行程序并行化做了一些研究和实验。