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multi-firing k-menas
Date : 2025-06-07 Size : 2kb User : 苗苗

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Implementation of some deep learning algorithms. Nitish Srivastava University of Toronto. GPU-based python implementation of 1. Feed-forward Neural Nets 2. Restricted Boltzmann Machines 3. Deep Belief Nets 4. Autoencoder
Date : 2025-06-07 Size : 13.95mb User : 李胜力

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Non-linear classifiers, including ANN-BP algorithm matlab code and performance analysis, and nearest neighbor methods to achieve
Date : 2025-06-07 Size : 890kb User : 罗阳

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The model predictive control (MPC)path planning algorithm can solve the problem of dynamic unmanned aerial vehicle (UAV)path planning.Dynamic Bayesian network (DBN)is an effective tool for rea-soning and threat assessmen
Date : 2025-06-07 Size : 1.07mb User :

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The study was conducted with the aim of solving the path planning problem of autonomous underwater vehicles (AUV), and a fuzzy path planning algorithm based on particle swarm optimization (PSO) was presented according to
Date : 2025-06-07 Size : 2.26mb User :

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According to the vehicle CROSS—country path planning problem,a multi—strategy ant colony algorithm with the minimum traveling time as the goal was designed.First of all,the synthesis influence of the terrain slope and su
Date : 2025-06-07 Size : 1.38mb User :

For dealing with dispatching of the carrier aircraft tractor system on deck,a path planning method applicable to the objective of irregular shape in a complex environment with obstacles is described.Considering the featu
Date : 2025-06-07 Size : 2.08mb User :

The improved ant colony algorithm and path geometry optimization were applied to solve the global path planning problem of mobile robot.The obstacle performance was combined in the proposed algorithm to establish the wor
Date : 2025-06-07 Size : 2.62mb User :

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BP neural network, with the inertia term that optimize convergence rate.
Date : 2025-06-07 Size : 35kb User : wash

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BP neural network,with simulated annealing function that optimize the convergence rate.
Date : 2025-06-07 Size : 38kb User : wash

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K-means clustering analysis algorithm in pattern recognition of matlab and annotation, which adopts the error sum of squares of judgment
Date : 2025-06-07 Size : 2kb User : gain

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Matlab Toolbox for Dimensionality Reduction
Date : 2025-06-07 Size : 1.7mb User : long
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