资源列表
25
- 基于MIV的神经网络变量筛选 基于BP神经网络的变量筛选-Neural network variables MIV screening BP neural network based on variable filter
BP_for_4
- 使用神经网络实现对函数sin(x1)/x1*sin(x2)/x2的模拟，代码为matlab代码，输入为二维数组，输出为一个数，结果误差为0.225左右,-Using neural networks to function sin (x1) Analog/x1* sin (x2)/x2, the code for matlab code, enter a two-dimensional array, the output is a number, the result error is about
Bat-Algorithm
- 蝙蝠算法，并运用几个常见的测试函数验证了其收敛速度与精度。-Bat Algorithm for benchmarks.
PSO
- 粒子群算法，并运用测试函数测试了其精度与收敛性。-PSO for benchmarks .
tspant_CSharp
- 蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，tsp用C#编程-Ant colony algorithm (ant colony optimization, ACO), also known as the ant algorithm, tsp Programming with C#
ga
- 用遗传算法求解多参函数最值问题，包括主程序，选择、交叉、变异等相关程序-A Genetic Algorithm for Multi-parameter function best value, including the main program, selection, crossover, mutation, and other related programs
ABC-matlab
- 人工蜂群算法Matlab工具箱，包含基本优化测试函数。-artificial bee colony algorithm, MATLAB
BPPID
- BP神经网络PID控制代码，可以在matlab中直接运行-BP neural network PID control code can be run directly in matlab
Sparse-Embedding
- 该代码matlab所编写，实现稀疏流形子空间嵌入，可直接运行，对稀疏编码的相关学习有帮肋-The code is written matlab realize sparse subspace manifold embedding, can be run directly on the sparse coding related learning help rib
svm
- 对支持向量机硬间隔，软间隔和核函数的实现，采用的核为高斯核，高斯核所需的数据集包含在data中。-Support vector machines for hard intervals, soft interval and kernel implementations, using Gaussian kernel by kernel, Gaussian kernel required data set contains the data in.
wine_SVM
- 基于支持向量机的二分类模型，有效的解决了红酒分类问题-SVM binary classification model based on effective solution to the problem of wine classification
chengxu.m
- lm算法功能实现 拟合曲线 得到想要的曲线-lm algorithm functions to achieve the desired curve fitting curves