To counter the complexity and limitation of traditional digital distinguish methods, Script Digital Distinguish System based on BP Neural Network is proposed.
针对传统的数字识别方法的复杂性和局限性，提出了基于BP神经网络的手写体数字识别系统。
Considering the complexity and the time variability of industrial process, an adaptive Supervised Distributed Neural Networks (SDNN) is proposed for modeling of industrial process.
针对工业生产过程的复杂性和时变性，提出一种用于工业生产过程建模的自适应监督式分布神经网络(SDNN)。
In consideration of the complexity of the aggregation operation of time in process neural networks, a new learning algorithm based on function orthogonal basis expansion is proposed.
该文在考虑过程神经网络对时间聚合运算的复杂性的基础上，提出了一种基于函数正交基展开的学习算法。
These discoveries demonstrate the complexity of the neural control of sleep.
这些发现证明睡眠神经控制的复杂性。
In view of the model nonlinearity, the complexity, and the measuring difficulty in the crystallizing process of cane sugar, a genetic neural network model is established.
针对蔗糖结晶过程控制中存在的模型复杂性和检测困难等问题，建立了蔗糖结晶过程的遗传神经网络模型。
The application shows that the algorithms simplify the computing complexity of process neural networks, and raise the efficiency of the network learning and the adaptability to real problem resolving.
应用表明，算法简化了过程神经网络的计算复杂度，提高了网络学习效率和对实际问题求解的适应性。
The artificial neural network (ANN) has good processing ability to the non-linear information so that it is suitable for solving the index complexity and fuzzy problem.
人工神经网络具有良好的非线性信息处理能力，特别适宜于解决风险评价中多指标复杂性和不确定性的问题。
Aiming at problematic complexity of the nonlinear dynamic mathematical modeling of generator in the hydro-electric simulation system, a neural network based on information fusion is brought forward.
文章针对水电仿真系统中水轮发电机机组的非线性动态数学模型建模复杂问题，提出了一种基于信息融合思想的神经网络模型。
In response to the complexity of calculation for failure probability regarding fatigue crack growth life, a method for reliability analysis based on neural network response surface was presented.
针对疲劳裂纹扩展寿命失效概率计算的复杂性，提出基于神经网络响应面的可靠性分析方法。
In the neural network control area, the control of inverted pendulum is always a typical hot but difficult problem for its representative and complexity.
在神经网络控制领域，倒立振子控制问题因为其代表性和复杂性，一直是一个典型的热点和难点问题。
Particle swarm optimization- support vector machine classification has slightly better result than self-organizing neural networks, but the complexity of network was increased.
粒子群优化支持向量机分类效果稍好，但是增加了网络的复杂度；
Given the complexity between the ingredient of the coating and the coating essential properties, the neural network model is proposed to be used in the analysis of experimental data.
针对涂料的组成百分比与涂料基本性质之间的复杂关系，提出利用人工神经网络对试验数据进行处理，建立试验因素与结果之间的神经网络模型。
In this paper the basic theory of data mining is briefly introduced. For particularity and complexity of vehicle faults diagnosis, it is necessary to integrate rough set theory with neural network.
本文简要阐述了数据挖掘的基本原理，针对车辆故障诊断的特殊性和复杂性及诊断中存在的不完备信息和不一致信息，阐述了将粗糙集理论用于车辆故障诊断的必要性。
In this paper the basic theory of data mining is briefly introduced. For particularity and complexity of vehicle faults diagnosis, it is necessary to integrate rough set theory with neural network.
本文简要阐述了数据挖掘的基本原理，针对车辆故障诊断的特殊性和复杂性及诊断中存在的不完备信息和不一致信息，阐述了将粗糙集理论用于车辆故障诊断的必要性。
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