AI-NN-PR List Page 2286

AI-NN-PR list

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Fix_Computer Downloaded：0: On a small project in artificial intelligence, using a tool written in CILPS
Update : 2025-03-04 Size : 1kb Publisher : adam goo
AdrianBright_apriori Downloaded：0: apriori algorithm in JAVA development environment for data mining classification rules
Update : 2025-03-04 Size : 26kb Publisher : 雷賀君
matlab Downloaded：0: matlab is to learn from digital imaging and pattern recognition are often used in such disciplines as the programming tool, and the PDF is detailed in matlab
Update : 2025-03-04 Size : 14.92mb Publisher : adam goo
MultiAgentSystems Downloaded：0: Article 13 stresses Intelligent Agent and Multi-Agent System Chapter 13 Intelligent Agent
Update : 2025-03-04 Size : 75kb Publisher : 刘立
Agentbasedbilateralalgorithm. Downloaded：0: 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 agreement through consultation and to maximi
Update : 2025-03-04 Size : 418kb Publisher : 刘立
pso-kekao Downloaded：0: Prepared using MATLAB, particle swarm algorithm for reliability optimization problems
Update : 2025-03-04 Size : 3kb Publisher : 刘立
GMM-matlab Downloaded：0: On the Gaussian mixture model (GMM) of the matlab source code:
Update : 2025-03-04 Size : 12kb Publisher : 刘立
38896 Downloaded：0: Written in C language with BP neural network source code, efficient, and there is functional training, hope the exchange of learning
Update : 2025-03-04 Size : 8kb Publisher : armzm
blue Downloaded：0: 3D simulation of soccer robot strategy code, tested and powerful
Update : 2025-03-04 Size : 662kb Publisher : 柴远洲
jiyinbiaodashi Downloaded：0: Principle and Application of Genetic Algorithms Theory and Application of Genetic Algorithm
Update : 2025-03-04 Size : 1.11mb Publisher : name
wode_bashuma Downloaded：0: Eight digital dilemma A* algorithm uses the stack to achieve heuristic search
Update : 2025-03-04 Size : 582kb Publisher : laozi
tenlei Downloaded：0: function [U, center, result, w, obj_fcn] = fenlei (data) [data_n, in_n] = size (data) m = 2 Exponent for U max_iter = 100 Max. iteration min_impro = 1e-5 Min. improvement c = 3 [center, U, obj_fcn] = fcm (data, c) for i
Update : 2025-03-04 Size : 3kb Publisher : download99

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