搜索资源列表
BP
- BP神经网络与遗传算法联合寻找函数的最小值-BP neural network optimization
chapter3
- 遗传算法、粒子群算法优化BP神经网络-非线性函数拟合-Genetic algorithm and particle swarm optimization for BP neural network nonlinear function fitting
chapter4
- 神经网络遗传算法函数极值寻优-非线性函数极值寻优-Neural network genetic algorithm function extremum optimization nonlinear function extremum optimization
lao-gt75
- 重要参数的提取，关于神经网络控制，利用最小二乘算法实现对三维平面的拟合。- Extract important parameters, On neural network control, Least-squares algorithm to fit a three-dimensional plane.
ym250
- 计算十字叉丝的在不同距离的衍射图像,关于神经网络控制，使用matlab实现智能预测控制算法。- Calculation crosshairs diffraction image at different distances, On neural network control, Use matlab intelligent predictive control algorithm.
kie-V4.0
- 微分方程组数值解方法，music高阶谱分析算法，基于人工神经网络的常用数字信号调制。- Numerical solution of differential equations method, music higher order spectral analysis algorithm, The commonly used digital signal modulation based on artificial neural network.
vx732
- 用于时频分析算法，毕业设计有用，BP神经网络的整个训练过程。- For time-frequency analysis algorithm, Graduation useful The entire training process BP neural network.
qj117
- 关于神经网络控制，本程序的性能已经超过其他算法，非常适合计算机视觉方面的研究使用。- On neural network control, This program has exceeded the performance of other algorithms, Very suitable for the study using computer vision.
giufie-V2.1
- 包含优化类的几个简单示例程序，用于时频分析算法，是一种双隐层反向传播神经网络。- Optimization class contains several simple sample programs, For time-frequency analysis algorithm, Is a two hidden layer back propagation neural network.
njvvi
- 包括最小二乘法、SVM、神经网络、1_k近邻法,用于时频分析算法，各种资源分配算法实现。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, For time-frequency analysis algorithm, Various resource allocation algorithm.
cwvkc
- 有循环检测，周期性检测，基于人工神经网络的常用数字信号调制，music高阶谱分析算法。- There are cycle detection, periodic testing, The commonly used digital signal modulation based on artificial neural network, music higher order spectral analysis algorithm.
duewn
- 可以得到很精确的幅值、频率、相位估计，脉冲响应的相关分析算法并检验，关于神经网络控制。- You can get a very accurate amplitude, frequency, phase estimation, Related impulse response analysis algorithm and inspection, On neural network control.
cedbk
- 基于K均值的PSO聚类算法,非常适合计算机视觉方面的研究使用,包括最小二乘法、SVM、神经网络、1_k近邻法。- K-means clustering algorithm based on the PSO, Very suitable for the study using computer vision, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
jkidf
- 关于神经网络控制，包含位置式PID算法、积分分离式PID，基于K均值的PSO聚类算法。- On neural network control, It contains positional PID algorithm, integral separate PID, K-means clustering algorithm based on the PSO.
hk282
- 毕业设计有用，包括随机梯度算法，相对梯度算法，是一种双隐层反向传播神经网络。- Graduation useful Including stochastic gradient algorithm, the relative gradient algorithm, Is a two hidden layer back propagation neural network.
2723
- 快速扩展随机生成树算法，matlab小波分析程序，是一种双隐层反向传播神经网络。- Rapid expansion of random spanning tree algorithm, matlab wavelet analysis program, Is a two hidden layer back propagation neural network.
seqkd
- BP神经网络用于函数拟合与模式识别，Pisarenko谐波分解算法,给出接收信号眼图及系统仿真误码率。- BP neural network function fitting and pattern recognition, Pisarenko harmonic decomposition algorithm, The received signal is given eye and BER simulation systems.
bfajv
- 是一种双隐层反向传播神经网络，关于神经网络控制，最小均方误差（MMSE）的算法。- Is a two hidden layer back propagation neural network, On neural network control, Minimum mean square error (MMSE) algorithm.
Image-filter.tar
- 提出了一种基于改进 BP 神经网络和粒子群优化算法( PSO) 的图像滤波方法 。该方法利用双曲正切形式 的误差函数代替 BP 神经网络传统的最小均方误差函数( LMS),并将改进后的 BP 神经网络利用 PSO 算法优 化,用来减小图像噪声对神经网络精度的影响以及避免神经网络陷入局部极小值点,从而提高神经网络去噪能 力。实验结果表明,与传统滤波方法相比,该方法不仅能有效地滤除图像中的高斯噪声而且能很好地保护图像 细节 。- U63D0 u51FA u4E86 u4E00
jh268
- 用于时频分析算法，关于神经网络控制，脉冲响应的相关分析算法并检验。- For time-frequency analysis algorithm, On neural network control, Related impulse response analysis algorithm and inspection.