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Simulated annealing algorithm derived solid Annealing is a probability-based algorithm, the solid is heated to a sufficiently high, and allowed to slowly cool down, when heated, the solid particles with the internal temp
Date : 2025-05-25 Size : 4kb User : 张洋

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Using MATLAB software for fault analysis, the preparation of fuzzy neural network fault identification procedures
Date : 2025-05-25 Size : 1kb User : 王海洋

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TMSVM opensource text mining code
Date : 2025-05-25 Size : 21.87mb User : 于宗文

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The use of ant colony algorithm to solve the TSP problem, ant colony algorithm for more than ten years of research and more popular artificial intelligence algorithms, applications in many fields, such as TSP, JSP, etc
Date : 2025-05-25 Size : 9kb User : percy

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Adaboost is an iterative algorithm, the core idea is the same for a training set different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger final classifier (strong classifier).
Date : 2025-05-25 Size : 21kb User : 罗齐

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A simple example of learning neural network algorithm calls TRAINGDM BP network training and simulation.
Date : 2025-05-25 Size : 1kb User :

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Second generation ID card reader and fingerprint sample code, run fast the SDK Demo demo program. You must have a sub Elliott fingerprint capture device.
Date : 2025-05-25 Size : 78kb User : 不说

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An Evolutionary computing technology, comes a simplified model of social simulation. PSO algorithm is based on population, according to adapt to the environment of the individuals of the population to move to better area
Date : 2025-05-25 Size : 1kb User : 李琴

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In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression
Date : 2025-05-25 Size : 2kb User : farshid

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A probabilistic neural network (PNN) is a feedforward neural network, which was derived the Bayesian network and a statistical algorithm called Kernel Fisher discriminant analysis
Date : 2025-05-25 Size : 2kb User : farshid

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A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed graph, with each la
Date : 2025-05-25 Size : 3kb User : farshid

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In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution.
Date : 2025-05-25 Size : 2kb User : farshid
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