gradient descent method

基本解释

Two ways are used to design the network, the one is the direct energy descent method, and the other is the gradient descent method.
有两种方法可以用来设计网络，一是能量下降法，另一个是梯度下降法。
The essence of back propagation networks is that make the change of weights become little by gradient descent method and finally attain the minimal error.
其实质是采用梯度下降法使权值的改变总是朝着误差变小的方向改进，最终达到最小误差。
Instead of gradient descent method, recursive least-square algorithm is used to train the fuzzy neural network to overcome the defect of the low convergence rate and local minimal.
为了克服传统的梯度下降法收敛速度慢、容易陷入局部极小值的缺点，该方案采用递推最小二乘法训练模糊神经网络。