人工神經(jīng)網(wǎng)絡(luò)和人工智能Delphi版語言的源程序(NEURAL Networks and AI Delphi Sources)。
標(biāo)簽: Delphi Networks Sources NEURAL
上傳時(shí)間: 2013-12-25
上傳用戶:xiaohuanhuan
annie is an ANN, ie, Artificial NEURAL Network library developed in C++. It can be used to implement various kinds of NEURAL networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.
標(biāo)簽: Artificial developed implement Network
上傳時(shí)間: 2014-08-17
上傳用戶:trepb001
Single-layer NEURAL networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer NEURAL networks while the third can be generalized to multi-layer perceptrons.
標(biāo)簽: Single-layer algorithms best-known networks
上傳時(shí)間: 2015-06-17
上傳用戶:趙云興
Simon Haykin的 《NEURAL NetWorks》例子原碼,相當(dāng)經(jīng)典。相信很有用,特別SVM PCA等
標(biāo)簽: NetWorks Haykin NEURAL Simon
上傳時(shí)間: 2015-06-24
上傳用戶:阿四AIR
this a NEURAL network Matlab program.
標(biāo)簽: network program NEURAL Matlab
上傳時(shí)間: 2014-01-06
上傳用戶:GavinNeko
This demo nstrates the use of the reversible jump MCMC simulated annealing for NEURAL networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL
標(biāo)簽: This reversible annealing the
上傳時(shí)間: 2015-07-19
上傳用戶:ma1301115706
two Matlab functions for initializing and training a recurrent NEURAL network
標(biāo)簽: initializing functions recurrent training
上傳時(shí)間: 2013-12-17
上傳用戶:yzy6007
ANN 1.0 人工神經(jīng)網(wǎng)絡(luò)程序, Artificial NEURAL Network Training Program ANN.EXE v1.10,
標(biāo)簽: Artificial ANN Training Network
上傳時(shí)間: 2014-01-15
上傳用戶:caixiaoxu26
Name:NEURAL Network Control, for Matlab,tipical description for control problems with NN method, additionally, there are some useful examples to be referenced.
標(biāo)簽: description for problems Control
上傳時(shí)間: 2015-08-15
上傳用戶:siguazgb
a useful spiking NEURAL networks simulator
標(biāo)簽: simulator networks spiking useful
上傳時(shí)間: 2014-01-20
上傳用戶:2467478207
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