To reduce the influence of noise, the initial result was optimized with the Levenberg-Marquardt algorithm.
为了降低噪声影响，使用非线性优化算法优化初值。
2
Using backpropagation neural network based on Levenberg-Marquardt algorithm, the universal characteristics of engine were investigated.
采用基于L - M算法的BP神经网络对某发动机万有特性进行研究。
3
To achieve a higher convergent speed, the forecasting model adopts Levenberg-Marquardt(LM) algorithm, and the model adopts early stop method to improve extended capacity of the model.