基于特征联想的视觉跟踪模型，用特征联想来修正特征模型，使跟踪更加鲁棒，使适应目标的突然形变。-Visual tracking model based on features of the Lenovo features of Lenovo to fix the feature model, to make tracking more robust, so to adapt to sudden deformation of the target.

设计一个Hopfield网络，使其具有联想记忆功能，能正确识别阿拉伯数字。当数字被噪声污染后人可以正确的识别-Design a Hopfield network, it has associative memory function, can correctly identify the Arabic numerals. When the numbers were descendants of noise pollution can correctly identify

用DHNN （离散Hopfield网络）存储6幅图像作为联想记忆信息，然后对图像进行加噪处理，用所设计的DHNN进行图像复原，给出结果。-Storing DHNN (discrete Hopfield network) six images as associative memory information, and then add noise to the image processing, image restoration designed with DHNN, shows the re

用离散型Hopfield（DHNN）全互联的存储6幅图像作为联想记忆的信息，然后对图像加噪处理，用所设计的DHNN进行图像复原，给出结果，图像可以自己找。-With discrete Hopfield (DHNN) full-mesh storage 6 image as associative memory information, and then add noise to the image processing, with a designed DHNN image restoratio