AI-NN-PR List Page 442

AI-NN-PR list

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MCP Downloaded：0: Heuristic search algorithm to solve problems missionaries and Savage. AI classic problem.
Date : 2025-05-25 Size : 1kb User : Eden
SAA Downloaded：0: SAA only classical algorithm to solve TSP problem, easy to modify, easy to understand comments
Date : 2025-05-25 Size : 5kb User : anpan
GA Downloaded：0: Genetic algorithm to solve the classical TSP problem, the code easy to modify, easy to read
Date : 2025-05-25 Size : 4kb User : anpan
Single-competitive-neural-network Downloaded：0: Data classification single competitive neural network to predict the onset of cancer patients as an example to modify the code to facilitate
Date : 2025-05-25 Size : 45kb User : anpan
SOM_BP Downloaded：0: Data classification SOM neural networks, case for the diesel engine fault diagnosis, easy to modify the code clear thinking
Date : 2025-05-25 Size : 4kb User : anpan
PSO Downloaded：0: Neural network building , iterative particle swarm algorithm to optimize the BP neural network optimization
Date : 2025-05-25 Size : 2kb User : tangwei
Experiments Downloaded：0: mutli-label online classification algorithm Using br approach，implemented by matlab
Date : 2025-05-25 Size : 6.98mb User : 张敏
NN-and-DL.pdf Downloaded：0: Neural Networks and Deep Learning
Date : 2025-05-25 Size : 645kb User : SHP
LinWPSO Downloaded：0: A linear weighting method of particle swarm algorithm, in view of the basic particle swarm optimization (pso) algorithm is easy to premature algorithm and easy to generate oscillation phenomena near global optimal soluti
Date : 2025-05-25 Size : 1kb User : 岳海涛
PSO Downloaded：0: Basic particle swarm optimization algorithm, it can quickly solve unconstrained optimization problems.
Date : 2025-05-25 Size : 1kb User : 岳海涛
SAPSO Downloaded：0: In order to balance the global search ability of particle swarm optimization (pso) algorithm and local improvement ability, also can use nonlinear dynamic inertia weight formula.
Date : 2025-05-25 Size : 1kb User : 岳海涛
LnCPSO Downloaded：0: Aimed at particle swarm optimization (pso) algorithm in practical application, there are also some other accessor methods, common changes have synchronous and asynchronous learning factors.
Date : 2025-05-25 Size : 1kb User : 岳海涛

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