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.
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