2) fuzzy B-spline neural network
B样条基函数模糊神经网络
3) multi weighted value function neural network
多权值函数神经网络
1.
Takes the safe application of the intelligent mobile phone as its carrier,integrates the advantages of PCA and multi weighted value function neural network for face identification,makes use of nonlinear multi weighted value function neural network to refine multi components,and multi weighted value function neural network face identification.
该文以高端智能手机的安全应用为载体,结合主元分析法和多权值函数神经网络在人脸识别中的优势,利用非线性多权值函数神经网络实现多主元提取,以及多权值函数神经网络识别。
2.
This paper takes the safe application of the intelligent mobile phone as its carrier,integrates the advantages of PCA and multi weighted value function neural network for face identification,makes use of nonlinear multi weighted value function neural network to refine multi components and achieve face identification.
以高端智能手机的安全应用为载体,结合主元分析(PCA,Principle Component Analysis)法和多权值函数神经网络在人脸识别中的优势,利用非线性多权值函数神经网络实现多主元提取,以及多权值函数神经网络识别。
3.
This paper takes the safe application of the intelligent mobile phone as its carrier,integrates the advantages of PCA and multi weighted value function neural network for face identification,makes use of nonlinear multi weighted value function neural network to refine multi components,and multi weighted value function neural network face identification.
以高端智能手机的安全应用为载体,结合主元分析(PCA Principle Component Analysis)法和多权值函数神经网络在人脸识别中的优势,利用非线性多权值函数神经网络实现多主元提取,以及多权值函数神经网络识别。
4) B-spline neural network
B样条神经网络
1.
A B-spline neural network was trained to be a neural network chaotic controller to predict the time sequences of chaotic systems and obtain their perturbation signals for control of chaotic systems.
采用B样条神经网络,通过选取混沌系统不稳定周期轨道的不动点附近的数据作为参数扰动模型输入样本的学习,把该模型训练成神经网络混沌控制器,从而预测出混沌系统将来时刻的时间序列,获得控制混沌系统的扰动信号。
2.
Based on adopting the B-spline neural network model to approach the output probability density function(PDF)and by considering uncertainties of system model and controller,the robust resilient optimal tracking controller is proposed by using the Lyapunov stability theory and linear matrix inequality(LMI) technique.
在采用B样条神经网络模型逼近随机动态系统的输出概率密度函数(PDF)的基础上,同时考虑系统模型和控制器增益不确定性,结合Lyapunov稳定性理论和线性矩阵不等式(LMI)技术,引入增广控制作用,设计基于广义状态反馈的鲁棒弹性最优跟踪控制器,目的是使系统的输出PDF跟踪给定PDF。
3.
In this paper,a mathematic model is built,then the B-spline neural network is applied to control the system,at last MATLAB is used to simulate the system,the results show that this method has advantages such as high approximation and distinguishing ability,so it can meet the requirements of the loading task comparatively well.
本文对系统进行数学建模,应用B样条神经网络加以控制,最后使用MATLAB进行仿真,仿真结果表明该方法具有逼近精度高,分辨率高的优点,能很好地满足了实验机力加载的要求。
5) B-spline neural networks
B-样条神经网络
6) functional link neural network
函数链神经网络
1.
In this paper,improved genetic algorithm(IGA) is adopted to optimize the functional link neural network(FLNN) in order to find global.
本文探讨了利用改进遗传算法优化函数链神经网络,以获得全局最优解的方法,并根据多温度条件下的实测数据,对电涡流传感器温度补偿模型进行了有效辨识。
补充资料：样条
样条
spline
样条[刘加;en几a皿，] 在区间【a，妇上定义的具有m一1阶连续导数的函数S。(A。;x)，该函数在由剖分△。二“=x。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条