利用模糊系统的径向高斯函数网络对一类非线性时变系统的状态进行了估计。
Radial Gaussian function networks based on fuzzy systems is applied to the state estimation of nonlinear time varying systems.
针对歼击机操纵面结构故障，提出了一种基于自适应不对称高斯基函数网络(agbfn)的可靠跟踪控制方案。
A reliable flight tracking control scheme is developed for a fighter in the presence of control surface failures based on adaptive asymmetric Gaussian basis function network (AGBFN).
椭球单元通过高斯分布逼近形成各模式类的决策区域，是一种非常适合于模式识别任务的前馈型人工神经网络模型。
Neural Networks with Ellipsoidal Activation Functions closes in upon a decision making region by Gauss distribution for various patterns and is adapted to fault diagnosis well.
对网络控制系统分别从高斯型二次最优（LQG），切换系统和神经网络控制三个方面来考虑。
We consider the networked control system (NCS) from linear quadratic Gaussian (LQG) method, switched system and neural network control.
通过概率的表达式来评定类高斯噪声的准确性，从而可以对超宽带脉冲无线电网络的类高斯噪声性能进行分析。
This is used to assess the accuracy of the Gaussian approximation commonly used in the performance analysis of UWB impulse radio networks.
这种方法对高斯噪声和星座图由于信号初始相位而引入的旋转具有良好的稳健性，并避免了神经网络中的过学习和局部极小点等缺陷。
This method is robust to Gaussian noise and constellation rotation due to initial phase of signal and avoids overfitting and local minimum in neural networks.
计算机模拟表明，在加性高斯噪声下，使用该神经网络可以达到最大似然译码。
The computer simulation shows that the decoder can achieve maximum likelihood decoding in the environmemts of additive white Gaussian noise.
在此基础上，提出了将一种改进的类似神经网络机制的经验迭代方法应用到相关非高斯雷达杂波的仿真系统中。
Based on them, it brings up the improved empirical iterated method like neural networks, which can be applied in relevant non-Gaussian clutter in radar simulation system.
利用神经网络实现模糊推理，运用了一种模糊高斯基函数神经网络，并用于两关节机器人的轨迹跟踪控制。
The fuzzy inference is realized by neural network, a fuzzy Gauss function neural network is used for two-joint robot tracking control.
使用了高斯函数作为神经网络的激励函数，并以最小二乘准则对字符进行识别。
Gauss function is used as neural network's inspirit function, and least square rule is used to recognize the character.
本文研究了非高斯噪声中信号的检测，采用多层感知器神经网络作为检测器。
In this paper, the authors study the detection of signals in non-Gaussian noise, and employ a multilayer perceptron neural network as a detector.
用高斯径向基函数(RBF)神经网络逼近对象未知非线性，用高增益观测器估计系统不可测量状态。
Gaussian based radial basis function (RBF) neural networks are used to approximate the plant's unknown nonlinearities, and a high-gain observer is used to estimate the unmeasured states of the system.
通过高斯金字塔模拟目标的多级尺度模型，利用不同级别的模型建立目标的多级BP网络模型。
In this paper, we simulate multi-scale models of targets through Gaussian pyramid, and then establish multiple BP nets of targets.
另一部分是基于高斯基函数神经网络的控制系统。实际运行结果表明该系统的有效性和实用性。
The other is neural network control system using Gaussian potential function network(GPFN). The practical operating results illustrate effectiveness and practicability of the proposed system.
以人类嗅觉机理为研究对象，研究建立了一种基于高斯函数(GPFN)神经网络的气味鉴别模型。
In this paper, with the mankind smell mechanism as the target for research, a model, based on Gausss function neural net, has been set up to distinguish smell.
以人类嗅觉机理为研究对象，研究建立了一种基于高斯函数(GPFN)神经网络的气味鉴别模型。
In this paper, with the mankind smell mechanism as the target for research, a model, based on Gausss function neural net, has been set up to distinguish smell.
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