搜索资源列表
libsvm-mat-2[1].89-3
- svm多分类器，包括多分类和GA算法和PSO算法优化的SVM-svm multi-classifier, including the multi-classification and GA algorithm and PSO algorithm for optimization of SVM
Multi-stepPredictiveControl
- 多步预测,设计简单规范,基于信息建模,具有很强的抗干扰性和鲁棒性.-Multi-step prediction, the design of simple norms, based on information modeling, which has strong anti-jamming and robustness.
Multi-AgentGA
- Multi-Agent采购系统的遗传优化研究-Multi-Agent procurement system optimization study of the genetic
MultiAgentSystems
- 第13讲 智能Agent及多Agent系统 Chapter 13 Intelligent Agent & Multi-Agent Systems 徐从富 浙江大学人工智能研究所 -Article 13 stresses Intelligent Agent and Multi-Agent System Chapter 13 Intelligent Agent
Agentbasedbilateralalgorithm.
- 双边多议题协商是一个复杂的动态交互过程。解决Agent 在对环境和对方信息不全知的情况下通过协商达成一致并最大化自身效用是非常重要的。 -Bilateral multi-issue consultations is a complex process of dynamic interaction. Solve the Agent in the environment and the other incomplete information to know where to reach agr
BPFenhleiqi
- 本文介绍了一种新的多神经网络分类器集成方法,适合学习神经网络的学习者参考-This paper introduces a new multi-neural network classifier integration method, suitable for learners to study neural network reference
masotti_MLP_Classificazione
- 多层感知器的分类程序! -Multi-layer perceptron classification procedures!
spea
- spea源码，是目前非常流行的解决多目标优化问题的进化算法。-Spea source, is very popular to solve multi-objective evolutionary algorithm for optimization problems.
multiboost-0.71.src.tar
- MultiBoost 是c++实现的多类adaboost酸法。与传统的adaboost算法主要解决二类分类问题不同，MultiBoost解决的是多类的分类问题，而并不是把多类转化成二类问题。-MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning
TeamBots
- TeamBots 是一个可移植的多代理机器人仿真器，它可以支持动态环境中多代理控制系统的仿真，并可以提供可视化功能。-TeamBots is a portable multi-agent robot simulator, which can support a dynamic environment control system of multi-agent simulation, and can provide visualization capabilities.
Multiagent_Systems_and_Distributed_AI
- 介绍分布式人工智能的不错的入门书籍，主要利用分布式人工智能技术来构建multi－agent系统-Distributed artificial intelligence good introduction introductory books, the main use of distributed artificial intelligence technologies to build multi-agent system ... ...
MOEAD
- 基于微分的多目标优化问题，以子函数的形式写出的-Based on the differential of the multi-objective optimization problem in order to write the form of Functions
pso
- 求解多维无约束优化问题，收敛速度快，程序代码简洁。-Solving multi-dimensional unconstrained optimization problem, fast convergence, concise code.
libsvm-2.89
- 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
Multi-objective-optimization-GA
- 基于多目标优化遗传算法的用于电火花机床参数优化的matla程序源代码。-Multi-objective optimization genetic algorithm (for edm parameters optimization)
multi-target-tracking-with-ms
- 基于ms的多目标跟踪的算法，对大家应该有帮助-Ms-based multi-target tracking algorithm, we should help
multi-robot
- 一个很不错的关于多机器人追逃算法的文章，包括具体的算法分析和仿真结果-A very good algorithm for multi-robot pursuit of articles, including specific algorithm analysis and simulation results
Multi-step-prediction-of-chaotic
- Multi-step-prediction of chaotic time series based on co-evolutionary recurrent neural network 协同进化递归神经网络的多步混沌时间序列预测-This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic time series, it
Multi-objective-evolutionary
- NSGA的源程序，是多目标进化算法的智能算法，可用于多目标优化与决策等方面的计算(NSGA source, multi-objective evolutionary algorithm intelligent algorithm can be used to calculate other multi-objective optimization and decision-making)
Matlab code for multi-agent control
- 多智能体的编队控制，适合多智能体的编队或一致性研究的初学者学习(Multi-Agent Formation Control, Suitable for Initial Scholars of Multi-Agent Formation or Consistency Research)