结合PCA的尺度不变特征变换(SIFT)算法，关于神经网络控制，采用加权网络中节点强度和权重都是幂率分布的模型，加入重复控制，基于chebyshev的水声信号分析，是小学期课程设计的题目。- Combined with PCA scale invariant feature transform (SIFT) algorithm, On neural network control, Using weighted model nodes in the network strength and weight are power law distribution, Join repetitive control, Based chebyshev underwater acoustic signal analysis, Is the topic of the elementary school stage curriculum design.