浅析BP神经网络基本模型的C语言实现

摘要

BP 神经网络已经成为应用最为广泛的神经网络模型之一。而人工神经网络是对人脑真正神经工作的简化生物模型。为了加深对神经网络的理解，利用推导公式来详细分析其最后的输出值和误差。这里旨在阐述用C语言实现BP神经网络基本模型，在BP神经网络的初始化函数中采用了归一化处理的方法，另外就是对神经元的权重初始化；而 BP 神经网络训练函数是整个 BP 神经网络形成的引擎，驱动着样本训练过程的执行。%Nowadays BP Neural Network becomes one of the most widely used neural network models, while the artificial neural network is the simplified biological model of human-brain’s real work. For deepening the understanding of neural network, the last output value and error of the neural network is analyzed with the deduction formula. This paper describes basic model of BP neural networks implemented with C language. The normalized method is adopted in the initial function of BP neural network, and the training function of BP neural network is the forming engine of the whole network, and thus it could drive the successful execution of sample training process.