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基于ROBOT C环境做的一个点阵图像识别专家系统,平台是乐高机器人9797,特色是能进行24点的计算-ROBOT C-based environment to do a lattice pattern recognition expert system, platform, Lego robotics 9797, featuring a 24-point can be calculated
Date : 2026-01-10 Size : 5kb User : 张鸿云

In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approximated locally and all computation is deferred until classification. The k-nearest neighbor algorithm is amongst the simplest of all machine learning algorithms: an object is classified by a majority vote of its neighbors, with the object being assigned to the class most common amongst its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of its nearest neighbor.
Date : 2026-01-10 Size : 1kb User : aa

Target can be extracted in a picture you want, Fiber Transmission wireless communication system performance, Pattern Recognition bayes discriminant analysis algorithm.
Date : 2026-01-10 Size : 5kb User : bpfeyx

Matlab for beginner students will help, Car class-based truck driver trying to Matlab program, BP neural network function fitting and pattern recognition.
Date : 2026-01-10 Size : 10kb User : pouliutangsai
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