liuxiaolong111 2021-04-20 23:54:01
Description: Decision classification of watermelon Set 2.0 using C45 method
Plat: Python | Size: 2KB | Downloads: 0
liuxiaolong111 2021-04-20 23:53:03
Description: Decision splitting of watermelon Set 2.0 by ID3 method
Plat: Python | Size: 2KB | Downloads: 0
dadadfdafdafd 2021-04-20 18:25:24
Description: Convex optimization books, to do optimization methods have great use
Plat: Python | Size: 20322KB | Downloads: 0
ALEX315 2021-04-20 17:54:14
Description: BPA program for power system continuous power flow calculation
Plat: C/C++ | Size: 793KB | Downloads: 0
zjccc 2021-04-20 15:05:35
Description: Multi-hidden layer neural network
Plat: matlab | Size: 1KB | Downloads: 0
Sorryxxx 2021-04-20 13:25:51
Description: Handwritten character recognition based on MNIST data set, using convolution neural network algorithm (CNN)
Plat: Python | Size: 32148KB | Downloads: 0
chaijin 2021-04-20 10:45:42
Description: You are free to use the code provided you cite our IEEE TVT paper % Q.-V. Pham, S. Mirjalili, N. Kumar, M. Alazab, and W.-J. Hwang, "Whale Optimization Algorithm with Applications to Resource Allocation in Wireless Networks," IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp. 4285-4297, Apr. 2020.
Plat: matlab | Size: 16KB | Downloads: 1
小当家666 2021-04-19 20:57:00
Description: Extract the amount of mutual information between signals
Plat: Mathematica | Size: 8KB | Downloads: 0
娜进 2021-04-19 11:48:09
Description: Gaussian mixture model (GMM) is a soft clustering model. GMM can also be regarded as the generalization of K-means, because GMM not only considers the mean value of data distribution, Covariance is also taken into account. Like K-means, we need to determine the number of clusters in advance.
Plat: Python | Size: 3KB | Downloads: 0
sugar97 2021-04-19 11:42:32
Description: Artificial bee colony algorithm is a kind of optimization method which imitates the behavior of bees. It is a specific application of swarm intelligence. Its main feature is that it does not need to know the special information of the problem, only needs to compare the advantages and disadvantages of the problem. Through the local optimization behavior of each artificial bee individual, the global optimal value is finally highlighted in the group, and has a faster convergence speed. In order to solve the problem of multivariable function optimization, karaboga proposed the ABC model of artificial bee colony algorithm.
Plat: matlab | Size: 4KB | Downloads: 1
tcct 2021-04-19 11:22:29
Description: deep learning:This book is useful to all kinds of readers, but we mainly write it for two kinds of audiences.
Plat: TensorFlow | Size: 27140KB | Downloads: 0
ccxxx11 2021-04-18 20:32:53
Description: cutting in steel help you a lot
Plat: Others | Size: 28KB | Downloads: 1
weic1 2021-04-18 14:49:00
Description: Artificial intelligence, neural network, deep learning: for point classification
Plat: Python | Size: 1KB | Downloads: 0
wm喵喵 2021-04-18 13:58:22
Description: Time series differential moving autoregressive model, convolutional neural network, deep learning model
Plat: matlab | Size: 3833KB | Downloads: 0
当当lei叮叮 2021-04-18 12:15:04
Description: Extreme learning machine classification regression, we can be used to achieve the classification of data regression
Plat: Python | Size: 16KB | Downloads: 0
江直树 2021-04-17 17:27:05
Description: Implementation of the second edition of statistical learning method code
Plat: Python | Size: 16909KB | Downloads: 0
977143803 2021-04-17 16:00:08
Description: It contains cifar data set in PNG format, five training sets and one test set. The data has been processed and can be used directly. It can be uploaded six times.
Plat: Python | Size: 24644KB | Downloads: 0
977143803 2021-04-17 15:58:08
Description: It contains cifar data set in PNG format, five training sets and one test set. The data has been processed and can be used directly. It can be uploaded six times.
Plat: Python | Size: 24648KB | Downloads: 0
977143803 2021-04-17 15:56:07
Description: It contains cifar data set in PNG format, 5 training sets and 1 test set. The data has been processed and can be used directly. It can be uploaded for 6 times
Plat: Python | Size: 24628KB | Downloads: 0
977143803 2021-04-17 15:54:06
Description: It contains cifar data set in PNG format, 5 training sets and 1 test set. The data has been processed and can be used directly. It can be uploaded for 6 times
Plat: Python | Size: 24668KB | Downloads: 0
977143803 2021-04-17 15:53:04
Description: It contains cifar data set in PNG format, 5 training sets and 1 test set. The data has been processed and can be used directly. It can be uploaded for 6 times
Plat: Python | Size: 24689KB | Downloads: 0
977143803 2021-04-17 15:49:32
Description: Cifar dataset with PNG format
Plat: Python | Size: 24681KB | Downloads: 0
liaoshiliang 2021-04-17 14:54:45
Description: Hisilicon CV500 nnie face recognition commercial source code database of 50000 people
Plat: C/C++ | Size: 15248KB | Downloads: 0
liaoshiliang 2021-04-17 14:50:34
Description: The Dlib face detection and face features are accelerated in advance. Can run on arm linux pure CPU, fast detection of face, and face recognition
Plat: C/C++ | Size: 4818KB | Downloads: 0
六月liu 2021-04-17 14:26:20
Description: go again and do the best thing for everything the network is all the pi work
Plat: Python | Size: 1KB | Downloads: 0
liaoshiliang 2021-04-17 14:22:37
Description: Hisilicon CV500 nnie face recognition commercial level, supporting 100000 people database
Plat: C/C++ | Size: 58KB | Downloads: 0
dynasty2 2021-04-17 10:10:33
Description: LED digital tube training data set, part of the field collection of training data graphics
Plat: Python | Size: 9245KB | Downloads: 0
Moontasir 2021-04-17 02:22:22
Description: Machine learningo guideline. Please use by reading the guideline carefully
Plat: WINDOWS | Size: 1404KB | Downloads: 0
关木白 2021-04-16 21:36:25
Description: DIve into DL pytorch
Plat: Python | Size: 33080KB | Downloads: 0
Shuai Wang 2021-04-16 17:05:13
Description: When PSO algorithm calculates function extremum, it often appears premature phenomenon, which leads to large deviation in solving function extremum. However, genetic algorithm uses selection, crossover and mutation operators for function optimization, and directly takes the objective function as the search information in a probabilistic way. Therefore, it enhances the global optimization ability of particle swarm optimization algorithm and speeds up the progress of the algorithm The convergence accuracy is improved.
Plat: matlab | Size: 10KB | Downloads: 0
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