neural gas networks

基本解释

In order to predict coal bed gas content quantitatively, a BP neural networks model was established using a BP neural networks prediction method.
为了对煤层含气量进行定量预测，采用BP神经网络预测方法，建立了煤层含气量预测的BP神经网络模型。
A new hybrid method for prediction of solids holdup in gas-solid circulating fluidized bed is proposed based on chaos phase reconstruction and wavelet package as well as neural networks.
提出了一种将混沌的相空间重构、小波包分析和神经网络相结合的新方法用于预测气-固循环流化床的颗粒浓度。
In this paper, a new measurement method of flow velocity in gas-solid two phase flow is presented by using linear neural networks.
本文提出了一种以线性神经网络为基础测量气、固两相流速度的新方法。