Applications of Artificial Neural Networks (ANNs) attract the attention of many scientists from all over the world. They have many advantages over traditional algorithmic methods. Some of these advantages are, but not limited to ease of training

可变神经网络结构下的遥感影像光谱分解方法。提出一 种可变神经网络结构的方法，逐步去除负值丰度对应的端元，并调整相应的网络结构使之针对剩余的端元进行分解。-Spectral Unmixing M ethod 0f Rem ote Sensing Images in riable Architecture of Neural Network

连续Hopfield神经网络进行讲解，详细介绍网路结构与其他神经网络模型的区别-Continuous Hopfield neural network to explain, detailed network architecture with other neural network models differ