1) neural network false alarm filter
神经网络虚警过滤器
1.
In this paper,the false alam problem in built in test(BIT)of modern electronic system is analyzed and the neural network false alarm filter technology with its principle and neural network development steps are introduced in order to reduce false alarms and therefore enhance the capability of BIT.
分析了现代电子系统机内测试 (BIT)技术存在的虚警问题 ,提出运用神经网络虚警过滤器(NNFAF)技术来降低虚警、改进BIT能力 ;并介绍了NNFAF的原理和网络开发方法 ;最后分析了NN FAF技术的特点、应用及发展方向。
2) neural net filter
神经网络滤波器
1.
Research of an cascaded neural net filter applied in echo-cancellation;
回波抵消中级联神经网络滤波器的研究
3) BP Neural Network Filter
BP神经网络滤波器
5) neural network filter
神经网络滤波
1.
Some filter methods in integrated navigation system were presented,such as the concentrated Kalman filter and the federal Kalman filter in traditional filter methods,and the neural network filter in the nontraditional filter methods.
介绍了用于组合导航系统中的几种常用的滤波方法—如传统滤波方法中的集中卡尔曼滤波和联邦卡尔曼滤波、非传统滤波方法中的神经网络滤波,并从理论上分析了传统滤波方法和非传统滤波方法的优点和不足,最后以SINS/GPS组合导航系统为例进行了仿真。
6) process neural network
过程神经网络
1.
Converse solution of oil recovery ratio based on process neural network and quantum genetic algorithm;
基于过程神经网络和量子遗传算法的油藏采收率参量逆向求解
2.
Automatic identification of water-flooded formation based on process neural network;
基于过程神经网络的水淹层自动识别系统
3.
Prediction of aeroengine exhaust gas temperature using process neural network
基于过程神经网络的航空发动机排气温度预测
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1.白白地度过。
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