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ooDACE-1.4
克里金matlab工具箱，可实现基于克里金的近似建模。(matlab Toolbox for Kriging)
- 2017-06-24 09:26:36下载
- 积分：1
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Invariant_General_Hough_Transform
Invariant Generalised Hough Transform, also with a function for Maximal supression and a function for better edge detection.
- 2013-10-20 17:31:16下载
- 积分：1
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Finite-difference-method-in-Matlab
有限差分法的Matlab程序（椭圆型方程）,用有限差分法求解矩形域上的Poisson方程(Finite difference method in Matlab (elliptic equations), the finite difference method for solving the Poisson equation on a rectangular domain)
- 2021-03-29 10:49:11下载
- 积分：1
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PULSE_COMBINATION
UWB信号的组合操作，该代码是基于MATLAB进行编程的。对UWB信号的combination有指导意义(UWB combination)
- 2015-03-02 19:44:23下载
- 积分：1
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read_data_nc
用matlab读取nc数据，对数据作预处理的matlab函数。(Matlab function to read nc )
- 2013-12-03 22:04:17下载
- 积分：1
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FastICA_2.2
fast fixed-point ICA算法的Matlab实现(fast fixed-point algorithms ICA Matlab)
- 2004-09-21 21:17:50下载
- 积分：1
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OFDM_identify_algorithm
OFDM的在瑞利信道下的与单载波信号的识别算法，本人原创(OFDM in Rayleigh channel with single-carrier signal of the recognition algorithm, I am original)
- 2007-09-10 19:12:31下载
- 积分：1
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R32P_T
利用Peng-Robinson方程计算纯质R32p—T相图(Peng-Robinson equation using pure R32p-T phase diagram)
- 2010-01-17 16:07:26下载
- 积分：1
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MATLAB6.xSIGNALPROCESSING
SIGNAL PROCESSING IN MATLAB
- 2010-05-25 05:19:09下载
- 积分：1
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小波神经网络的时间序列预测-短时交通流量预测
本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)
- 2021-03-17 16:09:21下载
- 积分：1
