本文讨论了一种基于循环神经网络的传感器补偿新方法。
An approach to compensating sensor drift based on recurrent neural networks is discussed in the paper.
提出一种新的基于基本样条逼近的循环神经网络，该网络易于训练且收敛速度快。
A new recurrent neural network based on B-spline function approximation is presented. The network can be easily trained and its training converges more quickly.
对角循环神经网络是一类经过修正的全连接循环神经网络，在系统动态行为的俘获方面具有明显的优势。
Diagonal recurrent neural network (DRNN) is a modified model of the fully connected recurrent neural network with the advantage in capturing the dynamic behavior of a system.
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。
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.
介绍一种用循环多层感知器神经网络实现符号逻辑推理系统的方法。
A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper.
提出了气固循环流化床中气固流动的人工神经网络模型。
An artificial neural network model was set up to simulate the hydrodynamics of the gas-solid flow in the gas-solid circulating fluidized bed.
针对传统方法计算繁杂的问题，本文提出了基于双并联人工神经网络的汽轮机实际循环热效率计算方法。
To counter the difficulty of traditional method, the parallel connection feed-forward network of calculation method for the actual cycle thermal efficiency of a steam turbine is proposed.
在闭式循环柴油机配氧反馈控制的基础上采用了神经网络前馈控制策略。
Based on the feedback control, the neural feedforward compensation was applied in oxygen control of closed cycle diesel.
采用多层前向型神经网络，对燃煤循环流化床锅炉模型化进行了研究。
This paper presents a modelling method of the circulating fluidized bed combustion (CFBC) boiler using a feedforward neural network.
通过布置在不同高度处的火焰图像探测器得到循环流化床内火焰黑度沿床高的分布，进而由已经训练好的神经网络算法检测出循环流化床的床高。
Firstly, the flame emissivity were got by flame image detectors mounted at the different height of a CFB boiler, and then the bed height of the CFB boiler could be obtained by the BP neural network.
通过布置在不同高度处的火焰图像探测器得到循环流化床内火焰黑度沿床高的分布，进而由已经训练好的神经网络算法检测出循环流化床的床高。
Firstly, the flame emissivity were got by flame image detectors mounted at the different height of a CFB boiler, and then the bed height of the CFB boiler could be obtained by the BP neural network.
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