Search - Artificial Intelligence

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[matlab] matlab-examples DL : 0: 利用matlab程序编码，实现人工智能训练，并给出实际例子-Matlab program code used to achieve artificial intelligence training, and gives practical examples
Date : Size : 6kb User : haixing
[matlab] QDemo DL : 1: 强化学习是人工智能中策略学习的一种。本程序提供一强化学习事件Q-learning demo，并绘制图形进行形象化演示。-Reinforcement learning is a kind of artificial intelligence in the strategic study。This program provides a Q-learning demo with plotting.
Date : Size : 1kb User : 刘英
[matlab] ABCNNTrain DL : 0: Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */ - Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */
Date : Size : 5kb User : ehsan
[matlab] cmac(matlab) DL : 0: artificial intelligence
Date : Size : 5kb User : hyper code
[matlab] SparseBayes DL : 0: 实现有效的学习算法的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱-"SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models
Date : Size : 153kb User : 孙晓川
[matlab] a6cf72585f1b DL : 0: MATLB神经网络代码，创建一个向前的BP网络进行训练- network program, which has very detailed notes, very suitable for the general neural network and artificial intelligence for beginners
Date : Size : 1kb User : llul
[matlab] TP2SM56 DL : 0: This paper review the effectiveness of the parity space approach to identify faults or disturbance in a system. The most commonly used is the observer based procedures, and redundancy relationship method. This involves analytical mathematical analysis of geometry and bilinear algebra. Then, technological advances which require complex computation such as artificial intelligence and genetic algorithm had made tremendous improvement to fault Detection and Isolation (FDI) analysis. Dynamic Parity Space Approach was studied for a discrete state-space model. Important data will be extracted using this approach especially for residual generation which is the backbones of FDI analysis. Subsequently, at each time instant k, the generated residuals will form a matrix that will define the fault signature. It is remarkable that this approach is proven in this study to be effective in diagnosis and faults isolation.
Date : Size : 2.49mb User : Hazrul
[matlab] Genetic-algorithms DL : 0: 遗传算法：人工智能算法，用于求解复杂的函数的全局最优解-Genetic algorithms: artificial intelligence algorithms for solving complex function global optimal solution
Date : Size : 4kb User : 严晟
[matlab] Artificial-Intelligence-pneumonia DL : 0: 利用朴实贝叶斯方法求解有关肺炎的问题。肺炎对应有四个特征：发烧、疼痛、咳嗽和血细胞异常，当确定了患肺炎与否时，四个特征条件独立。假设患肺炎与否和四个特征都可表示为Ture和False。根据pneumonia.tex文件中的数据（500行，每行前4个数对应4个特征变量，第5个数对应患肺炎是否为真，以0表示False，1表示Ture），编写Matlab 程序 maininference.m，从example.txt中读取病人的症状信息（0表示False，1表示True，-1表示not given），并计算对应的患肺炎的可能性。所给的信息按发烧、疼痛、咳嗽、血细胞异常的顺序排列。将计算结果保存在answer.txt中。-Simple Bayesian method to solve the question of pneumonia. Pneumonia corresponding four characteristics: fever, pain, cough and blood cell abnormalities, determine the risk of pneumonia or not, the four characteristics of conditional independence. Assumptions suffering from pneumonia or not and four features can be represented as Ture and False. According to the data pneumonia.tex file (500 lines, each line of the first four numbers corresponding to the four characteristic variables, number 5 corresponds to the risk of pneumonia is true, 0 represents False, said Ture), to write Matlab program maininference. m from example.txt read the information of the patient' s symptoms (0 = False, said True, the-1 indicates not given), and to calculate corresponding to the likelihood of suffering from pneumonia. The information given by the order of fever, pain, cough, blood cell abnormalities. The calculated results is be saved in answer.txt.
Date : Size : 11kb User : 周旭峰
[matlab] QPSO DL : 0: 量子粒子群算法，测试函数，人工智能，多目标优化-Quantum particle swarm ，function test，Artificial intelligence, multi-objective optimization
Date : Size : 2kb User : 琼琼
[matlab] psc_case_ieee30 DL : 0: 标准算例30节点的M文件可用于遗传算法等人工智能算法-Benchmarks 30 node M file can be used genetic algorithms, artificial intelligence algorithms
Date : Size : 2kb User : 王林
[matlab] jiqiren DL : 0: 机器人（Robot）是自动执行工作的机器装置。它既可以接受人类指挥，又可以运行预先编排的程序，也可以根据以人工智能技术制定的原则纲领行动。-Robot (Robot) is automatically performing work machine device. It can accept human command, and can run in advance the choreography program, can also be based on the principle of with artificial intelligence technology make program action.
Date : Size : 10kb User : 张聪
[matlab] julefenxi DL : 0: 聚类分析算法（K-means）。里面有三个类似相关算法。数据挖掘人工智能等-Clustering algorithm (K-means). There are three similar correlation algorithm. Data mining and artificial intelligence
Date : Size : 2kb User : leon
[matlab] JLFX DL : 0: 聚类分析算法（K-means）。里面有三个类似相关算法。数据挖掘人工智能等-Clustering algorithm (K-means). There are three similar correlation algorithm. Data mining and artificial intelligence
Date : Size : 2kb User : leon
[matlab] knnclassifier DL : 0: 人工智能的knn算法，用matlab实现的。-Knn artificial intelligence algorithm, using matlab to achieve.
Date : Size : 1kb User : 张龙
[matlab] softsvm DL : 0: 用matlab实现的人工智能的支持向量机算法。-Using matlab to achieve artificial intelligence support vector machine algorithm.
Date : Size : 1kb User : 张龙
[matlab] genetic-algorithm DL : 0: In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.
Date : Size : 3kb User : Hutama Bramantyo
[matlab] function-RbmX DL : 0: 人工智能深度学习中限制玻尔兹曼机源代码，matlab程序-Artificial Intelligence depth study limitations Boltzmann machine source code, matlab program
Date : Size : 5kb User : gedajiang
[matlab] BP-neural-network-function- DL : 0: 人工智能及其运用实验亿基于BP神经网络算法的函数逼近-Artificial Intelligence and its use of experimental one hundred million based on BP neural network function approximation algorithm
Date : Size : 67kb User : 李赛凤
[matlab] face DL : 0: 人工智能人脸识别系统，计算识别率，采用最传统的方法-Artificial Intelligence- face recognition system, recognition rate is calculated, using the most traditional methods
Date : Size : 14.89mb User : 许飞

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