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ID3 decision tree MATLAB source code

This is the original code of the implementation of ID3 decision tree using Matlab. Comments are very clear. Three sets of data were selected. It is very easy to understand....

Cuckoo search for TSP Problem in MATLAB

This is the example coding of TSP solved using Cuckoo search, in order to know the effects that happens in the solution of TSP, in order to improve its efficiency and robustness in the individual representation....

NSGA-II multiobjective optimization algorithms

ZDT2 test nsga2 algorithm optimization function. Converge to Pareto optimal front, the novice who works for this algorithm is very helpful. Can learn under...

MATLAB implementation of adaboost algorithm

This package is a MATLAB implementation of adaboost algorithm for famous, by strengthening the threshold, adaboost and can get better result . Package includes the following files: 1. ADABOOST_te.m 2. ADABOOST_tr.m 3. demo.m 4. likelihood2class.m 5. threshold_te.m 6. threshold_tr.m...

MATLAB program realization of personalized recommendation algorithm based on probability matrix decomposition

Using MATLAB to realize a personalized recommendation algorithm based on probability matrix decomposition, existing data sets generated by a stochastic matrix, an iterative optimization over and over, get one of the best user implicitly implied matrix matrix, and a project, and finally building a pr...

Introduction of Calman filter and its algorithm implementation code (C++/C/MATLAB)

Application background Calman filter profile    some of the issues that have been found in recent days are very interesting.. So here, I hope to try my best to discuss with you some of the algorithm. Now to talk about some of the Kalman filter, if time permits, and I hope to be able t...

the Capacitated Vehicle Routing Problem

The CVRP is a hard combinatorial optimisation problem. The scenario is that a set of depots contains goods to be delivered to customers by a fleet of trucks. Each customer wants a certain integer amount of goods called their demand and each truck can only carry a certain amount called its capacit...

Pure Aloha and slotted Aloha Matlab code

Pure Aloha and slotted Aloha algorithm Matlab code. Results comparison of two algorithms for throughput, throughput can be derived by modifying the label change in value....

Multi-objective Particle Swarm Optimization algorithm

Foreign classic multi-objective Particle Swarm Optimization, improved version of the 2012 MOPSO, very suitable for beginners. Is a classical algorithm for multi-objective Particle Swarm Optimization. Study of particle swarm students must see an article of the code. Foreign classic multi-objective Pa...

Design and simulation of multi-agent Q-learning algorithm

Multi-Agent toolkit can be directly used for multi-agent reinforcement learning algorithm design and simulation. Reinforcement learning (reinforcement learning, also known as reinforcement learning, evaluation of learning) is an important method of machine learning, robotics and intelligent control...

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