改进的BP网络算法在图像识别中的应用

采用增加动量因子和自适应学习速率相结合的方法,对BP神经网络算法进行改进,利用改进的BP网络算法,可以有效地抑制网络陷入局部极小值,提高网络训练速度。实验验证表明,改进的算法对图像识别的准确率较高。

Application of Improved BP Network Algorithm in Image Recognition

In traditional BP neural network weight is adjusted by steepest gradient descent method and training process could attain error-free result by following the ramp of the error function from the start,but it has some disadvantages such as slow convergence rate of training process and is prone to fall into local minimum.An improved algorithm is proposed in this paper,which makes a combination of momentum gene and adaptive learning rate,thus allowing it to keep network from falling into local minimum and accele...