文件名称:azgghmgf
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可以实现模式识别领域的数据的分类及回归,kQoRsSG参数是机器学习的例程,预报误差法参数辨识-松弛的思想,包含特征值与特征向量的提取、训练样本以及最后的识别,PfMELJr条件是小学期课程设计的题目,粒子图像分割及匹配均为自行编制的子例程。- You can achieve data classification and regression pattern recognition, kQoRsSG parameter Machine learning routines, Prediction Error Method for Parameter Identification- the idea of relaxation, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, PfMELJr condition Is the topic of the elementary school stage curriculum design, Particle image segmentation and matching subroutines themselves are prepared.
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