The influence to convergent speed and recognition accuracy of both concealed layer node count and the learning rate is considered.
考察了隐层节点数对网络收敛速度、识别正确率的影响以及学习率对收敛速度的影响,改进了网络训练算法。
The particle count model is given base on pattern recognition.
提出了基于模式识别的微粒计数模型。
The recognition and count of the nuclear track image provides an important basis for radon levels in surroundings.
核径迹图像的识别与计数是环境中氡浓度测量的重要依据。
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