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- Forward feedback neural network （FNN） using a variable step size BP algorithm is used to implement underwater acoustic channel equalization. 文中对变步长BP算法的前馈神经网络进行了理论和算法分析,并通过计算机对其实现水声信道盲均衡进行了仿真。
- trigonometrically-activated Fourier neural network Fourier三角基神经元网络
- Fourier Neural Network(FNN) 傅里叶神经网络
- Keywords fuzzy neural network（FNN）;identification;steelmaking furnace; 模糊神经网络;系统辨识;转炉;
- Keywords GMDH-type network;feedforward neural network（FNN）;EEG;polynomial; GMDH型神经网络;前向型神经网络;脑电信号;多项式;
- Keywords fuzzy neural network（FNN）;dangerousness of methane explosion;safety assessment model; 模糊神经网络;瓦斯爆炸危险性;安全评价模型;
- Research on SIMO Fourier Neural Networks Based on Least Square Method 基于最小二乘法的SIMO傅里叶神经网络研究
- The fuzzy neural network (FNN) and reinforcement learning (RL) are integrated. 将模糊神经网络与强化学习理论相结合，构成模糊强化系统。
- Fourier neural network 傅立叶神经网络
- The theory of fuzzy neural network (FNN) modeling for nonlinear systems is presented. 摘要论述了模糊系统和神经网络相结合的非线性系统辨识理论。
- A new control scheme based on fuzzy neural network (FNN) for valve-controlled motor was presented. 摘要提出了一种基于模糊神经元网络的阀控马达控制方案。
- A fuzzy neural network (FNN) control scheme for a class of complicated nonlinear systems was presented. 针对一类复杂非线性系统，提出一种模糊神经网络(FNN)控制方案。
- This paper proposed a gait recognition method based on Fourier Descriptors(FDs) and Artificial Neural Network. 提出了一种基于傅立叶描述子和神经网络的步态识别方法。
- Neural Network Trace Editor Training. 神经网络道编辑训练。
- A method of spectrum analysis is proposed using recursive least square algorithm to train the weights of Fourier Basis Functions (FBF) neural network. 该文提出了一种用递推最小二乘法训练傅里叶基神经网络权值的频谱分析方法。
- The fuzzy neural network (FNN) control method was designed in the system in order to regulate direct current (DC) bus voltage, which was the object of the system. 在系统里，采用模糊神经网络控制算法实现直流总线电压的自动调整，达到稳定系统的直流总线电压的目的。
- A fuzzy neural network (FNN) was proposed for fusing the bioelectric information, and realizing the monitoring of the change of reference biochemical index. 摘要针对电针镇痛过程中生化指标化验的时滞性及费用高等不足，提出基于模糊神经网络预测电针镇痛过程中生化指标变化的方法。
- The fault of aluminum crack is diagnosed based on Fuzzy Neural Networks (FNN) and Data Fusion (DF). 摘要本文利用模糊神经网络和数据融合技术相结合，对铝板裂纹进行了故障诊断。
- The neural network can preferably solve the non-linear problem. 利用神经网络建模可以较好地解决非线性问题。
- Neural Networks Horizon Picker Training. 神经网络层位拾取训练。
