1.
Study on Prediction by Neural Networks and IIR Filter for the Operating Parameters of Hovercraft;
气垫船运动参数神经网络预测与IIR滤波研究
2.
Applications of Neural Networks to the Measurement of Multi-Phase Flow;
![点击朗读](/dictall/images/read.gif)
神经网络在多相流参数检测中的应用
3.
Study on the Parameters Optimized PID Control Based on Neural Network;
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基于神经网络参数优化的PID控制研究
4.
Research on Parametric Multiwavelets and Multiwavelets Neural Networks;
![点击朗读](/dictall/images/read.gif)
参数化多子波及多子波神经网络研究
5.
Structure and parameters optimization of fuzzy rough neural network
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模糊粗糙神经网络的结构与参数优化
6.
Identification of complex modal parameters based on FFT and neural network
![点击朗读](/dictall/images/read.gif)
基于FFT和神经网络的复模态参数识别
7.
Optimization of drilling and blasting parameters based on back-propagation neural network
![点击朗读](/dictall/images/read.gif)
基于BP神经网络的凿岩爆破参数优选
8.
Neural Networks Ensemble-Based IRT Parameter Estimation
![点击朗读](/dictall/images/read.gif)
基于神经网络集成的IRT参数估计
9.
Fracture Parameters Predicted by BP Neural Network
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基于BP神经网络算法的断裂参数预测
10.
The prediction of parameters of grind-hardening based on the L-M neural network
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L-M神经网络的磨削淬硬参数预测
11.
Neural Network Parameter Identification of Electro-hydraulic Load Simulator
![点击朗读](/dictall/images/read.gif)
电液负载模拟器的神经网络参数辨识
12.
Parameter Analysis of High-Speedy Catenary Based on Neural Network Model;
![点击朗读](/dictall/images/read.gif)
基于神经网络模型的高速接触网运行参数分析
13.
Study on Database of Technological Parameter Mate of Vibration Tapping Machining Basing on Neural-network;
基于神经网络的振动攻丝参数匹配数据库研究
14.
Study on Nonlinear Neural Networks Based on Exact Penalty Function with Two-parameter;
![点击朗读](/dictall/images/read.gif)
双参数精确罚函数非线性神经网络的研究
15.
The convolute analysis of Lijiaxia arch dam material parameter based on BP neural network
![点击朗读](/dictall/images/read.gif)
基于bp神经网络的李家峡拱坝材料参数反演
16.
The Research on the Application of Fuzzy Neural Network in Choosing Machining Parameters
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模糊神经网络选择机械加工参数的应用研究
17.
A Learning Algorithm of the Neural Network with Bell-Shaped Fuzzy Parameters
![点击朗读](/dictall/images/read.gif)
具有正态模糊参数的模糊神经元网络学习机制
18.
The color feature parameters for wood surface of four common tree species in Northeast China were determined and compared.
按颜色参数用自组织竞争神经网络进行了分类。