AI-NN-PR List Page 564

AI-NN-PR list

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control1 Downloaded：0: Path tracking controller, to achieve the target object close to the desired trajectory and desired trajectory tracking control.
Date : 2025-08-17 Size : 1kb User : 龙少
FeatureExtraction Downloaded：0: Learning machine with overrun achieve emotional identification section, for extracting emotional characteristics.
Date : 2025-08-17 Size : 1kb User : 龙少
CPSO Downloaded：0: Chaos particle swarm optimization, seeking cost function problems, avoid getting into local optimum particle swarm algorithm, obtaining the global optimum. Code containing cost function can be understood as an example.
Date : 2025-08-17 Size : 1kb User : 张泽
kernel_matrix Downloaded：0: Machine learning content overrun part of the matrix variable is used to generate kernels Omega.
Date : 2025-08-17 Size : 1kb User : 龙少
l_f Downloaded：0: A path tracking controller for each other to achieve two main tracks the robot.
Date : 2025-08-17 Size : 1kb User : 龙少
trackingsine Downloaded：0: A path tracking controller for the robot to track a desired path to achieve the purpose.
Date : 2025-08-17 Size : 1kb User : 龙少
tworobotrackingsine Downloaded：0: One pair of robot path tracking controller for the robot to achieve two desired path for tracking purposes.
Date : 2025-08-17 Size : 1kb User : 龙少
OS-ELM(Python) Downloaded：0: extreme learning machine realized by python，it works we
Date : 2025-08-17 Size : 132kb User : 张春
pid Downloaded：0: Controller of PID
Date : 2025-08-17 Size : 43kb User : 涂畅辉
BP Downloaded：0: 1) the distribution pattern of the original data requirements 2) known model types should be more comprehensive 3) suitable for multi-objective pattern recognition 4) extrapolation ability is limited 5) the qualitative d
Date : 2025-08-17 Size : 17.13mb User : 三苏
Hopfield Downloaded：0: Loop feedback network (Hopfield) features: 1) the qualitative data of the pattern recognition 2) rely on attractor for pattern recognition 3) its function can be made of BP network to realize, but fast.
Date : 2025-08-17 Size : 58kb User : 三苏
Kohonen Downloaded：0: 1) is suitable for large sample of unsupervised classification 2) the results often need to use with statistical analysis to explain the classification results 3) to identify new types, but poor function.
Date : 2025-08-17 Size : 45kb User : 三苏

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