"Explore the comprehensive compilation of English sentences and examples for the Function Linking Artificial Neural Networks (FLANN), a novel approach merging functional and connectionist paradigms. This collection offers a diverse range of illustrative sentences showcasing the application and versatility of FLANN in various contexts."
函数链接型神经网络,functional link artificial neural networks(FLANN)
1)functional link artificial neural networks(FLANN)函数链接型神经网络
1.A dynamic compensating method for transducers is presented based on functional link artificial neural networks(FLANN) inverse system constructed by least squares-support vector machine(LS-SVM).提出一种用最小二乘支持向量机(LS-SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。
2)Functional Link Artificial Neural Network(FLANN)函数链接型神经网络
1.An error correction method for tri-axial magnetometer based on functional link artificial neural network(FLANN) was proposed.提出一种基于函数链接型神经网络(FLANN)的三轴磁强计误差修正方法。
3)Functional link ANN函数链接神经网络
4)functional link neural network函数链神经网络
1.In this paper,improved genetic algorithm(IGA) is adopted to optimize thefunctional 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。
英文短句/例句
1.Application of functional link neural networks to machining rocket jet函数链神经网络在火箭大喷管加工中的应用
2.Magnetization Curve Fitting Based on the Function-chain Neural Network;基于函数链神经网络的磁化曲线拟合方法
3.Forecast Simulation of Process Supply Chain Using Radial Basis Neural Network;基于径向基函数神经网络的流程企业供应链预测仿真
4.On the Energy Function of Chaotic Neural Networks with Trigonometric Function Self-feedback三角函数自反馈混沌神经网络能量函数研究
5.Research on Learning Algorithms of Radial Basis Function Neural Networks;径向基函数神经网络的学习算法研究
6.The Non-linear Function Approximation Based on Wavelet Neural Network;基于小波神经网络的非线性函数逼近
7.Realization of Function Approximation on Matlab Based on BP Neural Network;基于BP神经网络的函数逼近的MATLAB实现
8.Application Based on Radial Basis Function Neural Networks基于径向基函数神经网络的应用研究
9.Improvement of RBF Neural Network Learning Algorithm径向基函数神经网络学习算法的改进
10.An Improved Prediction Model Based on Radial Basis Function Neural Network改进的径向基函数神经网络预测模型
11.Hardware implementation of a combined radial basis function neural network组合径向基函数神经网络的硬件实现
12.Degree of approximation to a function in C() by neural network神经网络对C()中函数的偏差估计
13.Intrusion detection system based on spline neural network基于样条权函数神经网络的入侵检测
14.Trainable Activation Function RBF Neural Networks Model激活函数可调的RBF神经网络模型
15.Approximation Capabilities of Sum-of-Product Neural Networks and Radial Basis Function Neural Networks;Sum-of-Product神经网络和径向基函数神经网络的逼近能力研究
16.Study on Nonlinear Neural Networks Based on Exact Penalty Function with Two-parameter;双参数精确罚函数非线性神经网络的研究
17.It can train polynomial function, neural networks, or radial basis function( RBF) classifiers.它可以对多项式函数,神经网络,径向基函数进行训练。
18.The Application of Radical Base Function Neural Networks in EEG Modeling径向基函数神经网络在脑电信号建模中的应用
相关短句/例句
Functional Link Artificial Neural Network(FLANN)函数链接型神经网络
1.An error correction method for tri-axial magnetometer based on functional link artificial neural network(FLANN) was proposed.提出一种基于函数链接型神经网络(FLANN)的三轴磁强计误差修正方法。
3)Functional link ANN函数链接神经网络
4)functional link neural network函数链神经网络
1.In this paper,improved genetic algorithm(IGA) is adopted to optimize thefunctional 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。
5)function chain neural network函数链神经网络
1.Measurement system for gas flux in pipeline based onfunction chain neural network;基于函数链神经网络的管道煤气流量计量系统
2.In order to improve the efficiency of vehicle engine,a data acquisition system of the cylinder pressure in vehicle engine could be gotten when a fitting formula about cylinder pressure based on different signal of crank speed was established by usingfunction chain neural network.为了提高车用发动机运行过程经济性,利用函数链神经网络对曲轴转角值所对应的气缸压力数据进行了拟合,得到了基于函数链神经网络的车用发动机气缸压力数据采集系统。
6)function-link neural network函数链神经网络
1.A new method combining genetic algorithm with delta rule is proposed to adjust the parameters and structure of feed-forwardfunction-link neural network without hidden layers.本文提出了将遗传算法(GA)和 δ 规则相结合,来调整一种无隐层的前向网络神经网络-函数链神经网络的参数及结构的方法,并将提出的算法用于 2bit 异或和曲面拟和问题,实验结果良好。
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