▍1. 重要-SARSA
强化学习的一种,基于sarsa算法,寻找最优路径,可运行(One kind of reinforcement learning, based on sarsa algorithm, seeks the optimal path, which can run)
强化学习的一种,基于sarsa算法,寻找最优路径,可运行(One kind of reinforcement learning, based on sarsa algorithm, seeks the optimal path, which can run)
说明: 用hopfield神经网络求解旅行商问题(Hopfield neural network is used to solve the traveling salesman problem)
用粒子群寻优SVM,从而实现对分类器的参数实现寻优(pso svmcg for class,abcpso)
卷积自编码器,深度学习中的CAE,类似CNN,是深度学习的基本框架之一(Convolution self encoder, CAE in depth learning, similar to CNN, is one of the basic frameworks for deep learning.)
说明: 有些配电网的动态重构,目标函数是电价等,程序中有注释(Some dynamic reconfiguration of distribution network, the objective function is the price of electricity, etc., there are notes in the program)
可用于拉曼峰等各种峰形的峰值寻找、峰位拟合,获取峰位信息的Matlab源代码(find peaks peaksfit)
用粒子群算法求解单一水库优化调度,只需要修改相应的约束条件就可以进行优化计算了(With a single particle swarm algorithm is optimizing reservoir operation, only need to modify the corresponding constraint conditions can were optimized )
说明: 时间序列的时频特性分析研究时间序列的傅里叶变换及逆变换,快速梅林变换及逆变换,短时离散傅里叶变换,得到瞬时频率。 研究时间序列的Born–Jondan时频分布图,Butterworth时频分布图,Choi–Williams时频分布图,得到瞬时频率。 (Time series analysis of time-frequency characteristics of time series of Fourier transform and inverse transform, the fast Mellin transform and inverse transform, short time discrete Fourier transformation, the instantaneous frequency. Of time series of Born-Jondan time-frequency distribution, Butterworth frequency distribution, Choi-Williams time-frequency map, get instantaneous frequency.)
bagging_svm MATLAB实现(the matlab code of bagging and svm .)
说明: bagging_svm MATLAB实现(the matlab code of bagging and svm .)
可以分别介绍MFA,又名边界Fisher分析。对模式识别十分重要的作用,可以帮助新手更好的理解KNN原理,对人脸识别有着很好的演示作用。(Can introduce MFA respectively, also known as boundary Fisher analysis. For pattern recognition is an important role, can help beginners a better understanding of KNN principle, has a very good demonstration effect on face recognition)
根据给出了心音的数据,设计并实现一个简单的用于文本分类的SVM。(Given heart sound data, design and implement a simple text classification SVM.)
清华大学 张学工的模式识别书籍电子版。第三版(The pattern recognition book electronic version of Zhang Xuegong from Tsinghua University)
QPSO算法的MATLAB源码,给需要的人,希望斑竹给加点技术分(MATLAB algorithm QPSO source, give the necessary people, hoping to add points Chiloscyllium technical sub-)
结合LPSO和GPSO的优点,该MATLAB程序实现一种时变参数的改进粒子群优化(IPSO) 算法。在IPSO中,粒子在向全局最优和局部最优粒子学习的同时,还向种群中最优粒子学习,因此具有较强的全局寻优能力。(Combined with the advantages of LPSO and GPSO, the MATLAB program implements a modified particle swarm optimization (IPSO) algorithm with time-varying parameters. In IPSO, when the particle is learning the global optimum and the local optimal particle, it also has the ability of global optimization.)
说明: 禁忌搜索算法求解最优化路径,解决tsp问题(Tabu search algorithm solves the optimal path and TSP problem)
说明: 介绍连锁故障的演化机理,流程,分为慢过程和快过程分别进行仿真(This paper introduces the evolution mechanism and process of cascading failure, which is divided into slow process and fast process)