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AI-NN-PR list
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This procedure to achieve the fusion of the nearest neighbor ML-KNN algorithm (ie IML-KNN), compared with KNN, better classification effect.
Date : 2025-05-22 Size : 2.87mb User : 周鑫

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Particle swarm optimization BP neural network algorithm, using PSO to optimize the number of neural network structure layer, and the value of the hidden layer, compared to BP neural network, the prediction effect is bett
Date : 2025-05-22 Size : 1.63mb User : 周鑫

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Using matlab to calculate the Mahalanobis distance for the image, This is a useful frequency estimation algorithm matlab simulation program, Suppressed carrier type differential phase modulation.
Date : 2025-05-22 Size : 8kb User : 魏雪鹏

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Mutual information is useful to calculate a set of procedures, Rotating machinery 2-d holographic spectrum calculation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
Date : 2025-05-22 Size : 5kb User : 郝万驰

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FMCW frequency modulated continuous wave radar range and angular measurements, STM32 all the information produced by the MP3, Including quaternion various calculations.
Date : 2025-05-22 Size : 6kb User : 何建

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Achieve a grayscale image and further control for video surveillance, BP neural network function fitting and pattern recognition, Principal component analysis model for establishing.
Date : 2025-05-22 Size : 6kb User : 张瑞华

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BSVM solves support vector machines (SVM) for the solution of large classification and regression problems. It includes the following methods One vs. One multi-class classification using a bound-constrained formulation M
Date : 2025-05-22 Size : 364kb User :

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Caffe u7B14 u8BB01 u81EA u5EFA u657 u636E u96C6 u5E76 u8BAD u7EC3
Date : 2025-05-22 Size : 16.47mb User : 刘伟杰

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By applying the beam forming technology of BER Several new methods sar image denoising, cordic matlab simulation algorithm.
Date : 2025-05-22 Size : 5kb User : 万富安

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Core-based principal component analysis is a nonlinear feature extraction method, which maps data the input space to the feature space through a nonlinear mapping, and then carries out the usual principal component analy
Date : 2025-05-22 Size : 4kb User : 王金柯

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The basic structure of CNN consists of two layers, one is the feature extraction layer, the input of each neuron is connected with the local acceptance domain of the previous layer, and the local feature is extracted. On
Date : 2025-05-22 Size : 1.14mb User : 王金柯

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Ann is a mathematical tool to achieve the mapping of two sets of data (similar to the function of the mapping, the difference is that it is strong to achieve the two groups of arbitrary matrix between the mapping relatio
Date : 2025-05-22 Size : 14.89mb User : 王金柯
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