Matlab利用BP神经网络和遗传算法对煤在锅炉内的燃烧率及一（儿）氧化氮的排放量进行优化，以获得最优的燃烧率和最少的氧化氮排放-Matlab using BP neural networks and genetic algorithms on coal in the boilers and the combustion rate of one (child) oxide emissions are optimized to obtain optimal combustion rate and

使用BP神经网络的数据分类-语音特征信号分类(Data classification using BP neural networks -- speech feature signal classification)

This Matlab program implements the cochannel speech separation algorithm Yi Jiang, D. L. Wang, et al. (2014), "Binaural Classification for Reverberant Speech Segregation Using Deep Neural Networks," .

This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs). This toolbox is composed by Jitong Chen, based on an earlier version written by Yuxuan Wang. The toolbox is further improved by Yuz