Like the Google framework MapReduce; MR describes a way of implementing parallelism using the Map function which splits a large data into multiple key-value pairs.
如Google框架MapReduce； MR描述了一种使用Map功能实现并行性的方法，它将大型数据分割成多个键-值对。
Based on the idea of data parallelism, a parallel training model for RBF (radial basis function) neural network in time-series prediction to improve the training speed is proposed.
根据数据并行的思想，提出了在时序预测中并行训练神经网络的模型，以提高训练速度。
The key function of the non-parallelism under some conditions is shown by the comparison of the results from the classical stability problem of the parallel flow.
与经典的平行流边界层稳定性结果相比，显示了在某些条件下非平行性对稳定性的关键作用。
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