资源列表
Simple-Neural-Network-for-Load-Forecasting
- simple Neural Network for Load forecasting Enjoy!
heun-euler
- 用heun，euler方法求微分方程，并每隔0.3秒画点显示每步结果。-Using heun, euler method for differential equations, and every 0.3 seconds to draw points show the results of each step.
csfit
- 求解三次紧压样条曲线，其中给出了一阶导边界。并用polyval命令画出三次样条插值-The three-order compacted spline curve is solved, and the first order derivative boundary is given. And use the polyval command to draw cubic spline interpolation
fbcsfit
- 求解三次次紧压样条曲线，其中，一阶导数边界条件为零。上个程序是一阶导数边界条件不为零的编程。-The cubic spline curve is solved three times, in which the first derivative boundary condition is zero. The previous program is a program whose first derivative boundary condition is not zero.
ispoly
- 给定一组二维离散点，用最小二乘多项式拟合曲线-Given a set of two-dimensional discrete points, fit the curve with least squares polynomials
alamgirfiles
- The fuzzy logic control based battery management system has been designed for effective power utilization. The proposed control to operate the battery charging and discharging mode during non-linear power generation. The battery will charge whenever
power-spectrum-estimation-(matlab)
- 基于matlab的功率谱估计实验，对比分析了功率谱估计的相关法、周期图法和welch法-Matlab based power spectrum estimation experiments, comparative analysis of power spectral estimation of the correlation method, periodogram and Welch method
complex-trapezoidal-and-Simpson
- 数值分析所用的复化梯形方法和复化Simpson方法的源代码-The numerical method used in the analysis of complex trapezoidal and Simpson s method of source code
bangfai
- 包括最小二乘法、SVM、神经网络、1_k近邻法,给出接收信号眼图及系统仿真误码率，部分实现了追踪测速迭代松弛算法。- Including the least squares method, the SVM, neural networks, 1
bangtun
- 利用贝叶斯原理估计混合logit模型的参数，信号处理中的旋转不变子空间法，gmcalab 快速广义的形态分量分析。- Bayesian parameter estimation principle mixed logit model, Sign
baopan_V1.4
- 对于初学matlab的同学会有帮助，粒子图像分割及匹配均为自行编制的子例程，考虑雨衰 阴影 和多径影响。- Matlab for beginner students will help, Particle image segmentation and matching subroutines themselves are prepared, Consider shadow rain attenuation and multipath effect.
benling
- 粒子图像分割及匹配均为自行编制的子例程，包括回归分析和概率统计，非常适合计算机视觉方面的研究使用。- Particle image segmentation and matching subroutines themselves are prepared, Including regression analysis and probability and statistics, Very suitable for the study using computer vision.