We address the problem of predicting a word from previous words in a sample of text. In particular, we discuss n-gram models based on classes of words. We also discuss several statistical algorithms for assigning words to classes based on the fre

提取灰度共生矩阵的分类作用，有利于后续的人工神经网络的进行-To extract the classification of the gray level co-occurrence matrix, is advantageous to the subsequent artificial neural network

描述灰度共生矩阵的c实现方法，对初学者很有帮助-C describes the realization method of gray level co-occurrence matrix, very helpful for beginners

Verilog实现共生矩阵的计算和特征量提取-Verilog realize the co-occurrence matrix calculation and feature amount extraction