Carries on the training through the use reasonable study algorithm, the neural network has to the thing and the environment very strong from the study, auto-adapted and from the organization ability.
通过利用合理的学习算法进行训练，神经网络对事物和环境具有很强的自学习、自适应和自组织能力。
High nonlinear problem which is often met in Chemical engineering, taking the study of tray leakage mode as example, is treated by adopted BP (back propagation) algorithm in artificial neural network.
针对化工中经常遇到的高度非线性问题，以塔板研究中的泄漏模型为例，采用人工神经网络中的BP(反向传播)算法进行处理。
To BP neural shortcoming of network, study one dynamic self-adaptation is it study improvement type BP algorithm of parameter to adjust.
针对BP神经网络的缺点，研究了一种动态自适应调整学习参数的改进型BP算法。
Study modelling thought, network configuration, majorize GNNM(1,1) mode method and learning algorithm of GNNM(1,1) mode combined grey system theory and neural network.
研究了灰色系统理论与神经网络组合的灰色神经网络GNNM（1，1）模型的建模思想、网络结构及其优化GNNM（1，1）模型的方法和学习算法；
To ride of the shortage of the id, we study on the extraction of the features, id method based on fuzzy neural network, and algorithm optimization and so on.
为克服现有入侵检测存在的不足，本文从特征提取、模糊神经网络应用于入侵检测、算法优化等方面进行了系统研究。
Based on the study of BP neural network and PID controller, a single neuron adaptive PSD algorithm is presented.
在对BP神经网络PID控制器系统研究的基础上，提出了单神经元的自适应PSD算法。
The known study algorithms which are used to be Fuzzy Neural Network parameter study algorithms are BP algorithm with gradient descent and inheritance algorithm.
目前使用的最多的学习算法仍然是基于梯度下降的BP算法和遗传算法。
The BP neural network algorithm is designed for safety classification and a case study has indicated the feasibility of the classification method.
计算结果表明，本文所述的分级方法是可行的。
The BP neural network algorithm is designed for safety classification and a case study has indicated the feasibility of the classification method.
计算结果表明，本文所述的分级方法是可行的。
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