本文从神经网络模型的结构出发，对学习算法提出了一系列改进和优化措施，以加快网络的学习速度，并增加模型的稳定性。
With the study of neural network model, this paper advances some of improvement and optimization techniques that can accelerate the learning speed of network and increase the stability of model.
提出了一种顾及操作性、稳定性、精度和速度的从航空影象半自动提取线状地物的策略和算法。
The paper introduces a method of semiautomatic extraction of linear objects from aerial images that has good interactive performance, robustness, accuracy and real time response.
从算法设计角度来看，系统是否能有效地处理紧急事件和冲突事件的能力决定了系统的稳定性与可靠性。
From the point of algorithm design, the system ability of handling emergencies and conflicts effectively determines the stability and reliability of the system.
从连续潮流用于系统静态稳定性分析的理论基础、连续潮流的模型分类、连续潮流的算法分类和连续潮流的用途等方面分别进行了评述。
The summarization on CPF is given in terms of the theoretical basis of CPF applications, the model classification, the algorithm classification and the utilization classification.
从算法的有效性、预测错误率、实时性和稳定性对以上四种算法分别进行比较和分析。
Based on the experiment results, the paper will compare and analysis the four algorithms separately from the algorithm's validity, the prediction error rate, real time performance and stability.
最后利用李雅普·诺夫函数从理论上分析了两种改进算法的稳定性条件。
Finally, using Lyapunov function theoretical analyze the stability conditions of two improved SPO.
将学习矩阵作用于误差数据建立PDAG算法的数学模型，从理论上证明了PDAG算法的稳定性和收敛性。
The establishment of mathematical model of PDAG algorithm, with the application of a learning matrix to the error data, proved the stability and convergence of PDAG algorithm in theory.
将学习矩阵作用于误差数据建立PDAG算法的数学模型，从理论上证明了PDAG算法的稳定性和收敛性。
The establishment of mathematical model of PDAG algorithm, with the application of a learning matrix to the error data, proved the stability and convergence of PDAG algorithm in theory.
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