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用分段线性插值逼近函数f(x)
fsgdbbc -Approximation using piecewise linear interpolation function f (x)
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bpnn-function approximation
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In most cases, a bandpass filter characteristic
is obtained by using a lowpass-to-bandpass frequency
transformation on a known lowpass transfer function. This
frequency transformation controls the location of passband
edges and transfer zero
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Adaptive Fuzzy Function Approximation for Multi-Agent Reinforcement Learning
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有数值计算中常用的Visual Fortran子过程近200个，内容包括：解线性代数方程组、插值、数值积分、特殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、傅里叶变换谱方法、数据的统计描述、解常微分方程组、两点边值问题的解法和解偏微分方程组，每一个子程序都包括功能、方法、使用说明、子程序和例子五部分。本书的所有子过程都在Visual Fortran 5.0版本上进行过验证，程序都能正确运行。同时配书发行光盘，包括所有子过程、验证过程及所有验
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近似动态规划中的特征发现,我们主张提取最好的状态表征方式的问题和值函数近似问题就像一个硬币的两面，用非参变量的方式是快速同时解决两个问题的较简便的方法。-Feature Discovery in Approximate Dynamic Programming,We also argue that the problem of discovering the best state representation and the problem of the value function approx
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用BP算法实现函数 逼近。
说明：1）网络结构为三层（输入层、1个隐层和输出层）
2）获取两组数据，一组作为训练集，一组作为测试集
3）用训练集训练网络
4）用测试集检验训练结果
-With BP algorithm function approximation. Descr iption: 1) The network structure of the three-layer (input layer, a hidden layer and output laye
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Paper Reinforcement learning with function approximation
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k型局部连接神经网络的结构和算法，及其与其他网络的函数逼近性能对比-k partially connected neural network structure and algorithm, and other network function approximation performance comparison
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解决了非线性函数的逼近问题,实现了BP神经网络在非线性函数逼近中的应用。得出了信号的频率与隐含点之间，隐含点与函数逼近能力之间的关系——隐含层神经元数目越多。-Solved the problem of nonlinear function approximation, and realized the application of the BP neural network in nonlinear function approximation. Between signal frequenc
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C# program for function approximation neural netwok
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—This paper shows a proposal for Type-reduction of
an Interval Type-2 fuzzy set composed from α -cuts done over
its primary membership functions. The defi nition of available
Type-reduction methods for Interval Type-2 fuzzy sets are based
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误差的来源
非线性方程（组）的数值解法
解线性方程组的直接方法
解线性方程组的迭代法
矩阵的特征值与特征向量的计算
函数的插值方法
函数逼近与曲线（面）拟合
数值微分
数常微分方程（组）求解值积分
-The source of the error
Numerical method for solving the nonlinear equation (group)
The direct method of solving linear
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This paper presents two kinds of adaptive control schemes for robot manipulator which has the parametric uncertainties. In order to compensate these uncertainties, we use the FLS (fuzzy logic system) that has the capability to approximate any nonline
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In probability theory, the normal (or Gaussian) distribution, is a continuous probability distribution that is often used as a first approximation to describe real-valued random variables that tend to cluster around a single mean value. The graph of
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基于二阶泛模型的无模型自适应控制及参数整定，充分利用无模型自适应控制边建模边控制的特点，推导基于二阶泛模型的改进无模型自适应控制，应用辨识出的近似模型针对不同目标函数进行优化-Pan model based on second order approximation model of model-free adaptive control and parameter tuning, make full use of model-free adaptive control side edge co
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Design a fuzzy system to approximate a function
the function may not be defined analytically
but the values of the function in n point is defined
for example : x E [-3 3] g(x)=sin(x)
the approximation is calculated a fuzzy set design
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Ext rapolation operator of one2way wave field has great application in seismic migration imaging. According
to their implement , these operators can be classified into three kinds : Kirchhoff integral method , implicit definite
difference in spa
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脉动风荷载的数值模拟 谐波叠加法 离散谱逼近目标函数-Numerical Simulation of fluctuating wind load harmonic superposition method Discrete Spectral Approximation objective function
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律u律pcm编码
若输入A律PCM编码器的正弦信号为x(t)=sin(1600πt),采样序列为x(n)=sin(0.2πn),n=0,1,2,…,10，将其进行PCM编码，求出编码器的输出码组序列y(n)。
要求：1) 直接采用A律扩展器函数求解上述问题。
2）使用13折线法近似A律PCM 求解上述问题。
3）计算量化误差。-Law a law pcm coding
If the input A-law PCM encoder is sinusoidal signal
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