说明：  神经网络由于其非线性处理能力强，性能稳定等特点得到了广泛应用和研究。主要应用于模式识别、信号处理、知识工程、专家系统、优化组合、机器人控制等。神经网络中使用最为广泛的就是前馈神经网络。
(Neural network because of its strong ability to handle non-linear, stable performance characteristics has been widely applied and studied. Mainly used in pattern recognition, signal processing, knowledge engineering, expert systems, optimization, robot control. Neural network is the most widely used feed-forward neural network.)