The GA-BP model is built by the nonlinear mapping ability of BP network and the global optimization of GA.
在GA - BP模型中主要是利用了BP网络的非线性映射能力和GA的全局优化能力。
With the nonlinear mapping ability of neural network, this method can give relatively excellent prediction to target.
该方法利用了神经网络的非线性映射能力，能够较好地对目标进行预测。
This paper proposes the classification of the neural network controller architecture and dynamic neural network structure, and clarifies its nonlinear mapping ability.
提出了神经网络控制器的分类以及非线性映射特性，讨论了神经网络控制器的特点。
This method utilizes the nonlinear mapping ability of the BP neural network. By training, the BP neural network achieves the error compensation for multi sensor system.
该方法利用BP网络较强的非线性映射能力，网络通过学习能实现对传感器系统误差的补偿。
By using ANN and its powerful nonlinear mapping ability and combining production of FEM dynamic analysis, a new way to predicting terrane crack depth of complex fire hole is offered.
以神经网络为基本工具，利用其强大的非线性映射能力，并结合有限元法动力分析成果，为预测在复合射孔条件下岩层裂缝扩展深度提供了一条新的途径。
BP neural network method is different from the traditional log interpretation method of CRA (complex reservoir analysis) and it is of a strong antijamming ability and nonlinear mapping ability.
BP神经网络不同于传统的CRA(碳酸盐岩复杂岩性处理程序)测井解释方法，具有强的抗干扰能力和非线性映射能力。
Through trained, BP neural network can obtain strong nonlinear mapping ability to learn the data characteristics of the hydrodynamic performance of ship propeller as a mathematic analytic form.
BP人工神经网络模型通过训练可以具备强大的非线性映射能力，以数学解析的形式，较好地提取了海量螺旋桨水动力性能数据特征；
The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.
结果表明，以CP神经网络构筑的故障模式识别器有很强的非线性映射能力，可对机械设备故障模式进行正确分类。
Network neural is fit for dealing with nonlinear problems especially for its good ability for nonlinear mapping.
神经网络具有良好的非线性映射能力，特别适合于处理各种非线性问题。
Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system.
前馈神经网络由于具有理论上逼近任意非线性连续映射的能力，因而非常适合于非线性系统建模及构成自适应控制。
At the same time, the nonlinear mapping property and high parallel process ability of ANN make it suitable to be applied to establish nonlinear prediction model to perform parameter prediction.
同时，神经网络所具有的非线性变换特性和高度的并行运算能力使得其适合建立非线性预测模型进行参数预测。
Financial time series has high randomicity and nonlinearity. Neural network is quite suitable in the process of financial time series data for its good ability of nonlinear mapping and generalization.
金融时间序列具有很强的随机性和非线性性，而神经网络具有良好的非线性映射能力及自适应、自学习和良好的泛化能力，因此非常适合处理金融时间序列这样的数据。
A new method for evaluating final settlement of soft ground for expressway is presented in this paper, by use of the strong nonlinear mapping and learning ability of artificial neural networks.
采用人工神经网络较强的非线性映射能力和学习能力，提出基于人工神经网络的高速公路软土地基最终沉降量的预测新方法。
The BP neural network has ability of nonlinear-mapping and self-accommodating. It can be used to recognize mode, forecast and so on.
BP神经网络具有很强的非线性映射和自适应学习功能，可用于模式识别和预测评估等领域。
The BP neural network has ability of nonlinear-mapping and self-accommodating. It can be used to recognize mode, forecast and so on.
BP神经网络具有很强的非线性映射和自适应学习功能，可用于模式识别和预测评估等领域。
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