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

有关模式识别—神经网络方面的MATLAB源码-On Pattern Recognition- Neural Networks in MATLAB source code

通过关于BP神经网络的基础知识点和若干案例的描述，对神经网络的MATLAB仿真进一步丰富和完善。-Through the BP neural network on the basis of knowledge points and a number of cases described in the MATLAB simulation of neural networks to further enrich and improve.