人工神经网络具有实现快速并行运算又有混沌动力学复杂行为时，它将是用来设计一种加密算法的最佳选择。
When neural network with fast parallel computing and complex behavior of chaotic dynamics, it is one of the best choice for designing encryption algorithm.
神经网络具备既能实现快速并行运算又有混沌动力学复杂行为的特征，是设计实现适用于实时安全通信应用的安全芯片最佳选择之一。
Neural networks can implement fast parallel computation; meanwhile it has the characteristic of complex chaotic dynamical process, so it is one of the best choices to assist security chip design.
本文针对海量离散数据的特点，借鉴分布式数据库、并行运算、网格计算及多线程的思想，提出了一套海量离散数据快速检索方法。
According to the feature of mass discrete data, an efficient retrieval method is stated by referring to the philosophy of distributive database, parallel computing, grid computing and multi-threading.
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