
Scatter Search
 Referenced in 288 articles
[sw05291]
 application to the problem of training neural networks. Scatter search is an evolutionary method that ... optimal weight values in a multilayer neural network. Through experimentation, we show that our instantiation...

darch
 Referenced in 265 articles
[sw11086]
 This package is for generating neural networks with many layers (deep architectures) and train them ... Reducing the dimensionality of data with neural networks” (G. E. Hinton, R. R. Salakhutdinov). This...

TensorFlow
 Referenced in 364 articles
[sw15170]
 conducting machine learning and deep neural networks research, but the system is general enough...

Neural Network Toolbox
 Referenced in 175 articles
[sw07378]
 Neural Network Toolbox. Neural Network Toolbox™ provides functions and apps for modeling complex nonlinear systems ... modeled with a closedform equation. Neural Network Toolbox supports supervised learning with feedforward, radial ... basis, and dynamic networks. It also supports unsupervised learning with selforganizing maps and competitive ... design, train, visualize, and simulate neural networks. You can use Neural Network Toolbox for applications...

ANFIS
 Referenced in 269 articles
[sw08730]
 system implemented in the framework of adaptive networks. By using a hybrid learning procedure ... yielding remarkable results. Comparisons with artificial neural networks and earlier work on fuzzy modeling...

PyTorch
 Referenced in 199 articles
[sw20939]
 PyTorch python package: Tensors and Dynamic neural networks in Python with strong GPU acceleration. PyTorch...

Keras
 Referenced in 120 articles
[sw15491]
 Keras is a minimalist, highly modular neural networks library, written in Python and capable...

CALMA
 Referenced in 105 articles
[sw03235]
 link frequency assignment problem occurs when a network of radio links has to be established ... local search methods, genetic algorithms, neural networks, and potential reduction. These algorithms were tested...

DistAl
 Referenced in 99 articles
[sw01746]
 distancebased constructive learning algorithm Multilayer networks of threshold logic units offer an attractive ... pattern classification systems. A new constructive neural network learning algorithm (DistAl) based on interpattern...

SSVM
 Referenced in 60 articles
[sw12678]
 Musicant, IEEE Trans. Neural Networks 10, 10321037 (1999)] and SMO [J. Platt, in: Advances...

SOM
 Referenced in 60 articles
[sw07375]
 environment, but the tools in its neural networks toolbox for SOM were not really...

PDENet
 Referenced in 31 articles
[sw36963]
 Inspired by the latest development of neural network designs in deep learning, we propose ... feedforward deep network, called PDENet, to fulfill two objectives at the same time ... learning convolution kernels (filters), and apply neural networks or other machine learning methods to approximate ... NetworkInNetwork (NIN) and Residual Neural Network (ResNet). Numerical experiments show that...

Brian
 Referenced in 22 articles
[sw23588]
 Brian: a simulator for spiking neural networks in python. ”Brian” is a new simulator ... spiking neural networks, written in Python (http://brian. di.ens.fr). It is an intuitive and highly...

BinaryConnect
 Referenced in 17 articles
[sw35871]
 BinaryConnect: Training Deep Neural Networks with binary weights during propagations. Deep Neural Networks (DNN) have ... components of the digital implementation of neural networks. We introduce BinaryConnect, a method which consists...

PointNet
 Referenced in 27 articles
[sw31209]
 design a novel type of neural network that directly consumes point clouds and well respects...

ART 3
 Referenced in 27 articles
[sw08755]
 distributed pattern recognition codes in a neural network hierarchy is introduced. The search process functions...

FUNFITS
 Referenced in 26 articles
[sw02191]
 gotten from CRAN (www.cran.rproject.org). The rest  neural networks, global and local Lyapunov exponents  is here...

Evolino
 Referenced in 18 articles
[sw36450]
 linear search for sequence learning. Current Neural Network learning algorithms are limited in their ability ... systems. Most supervised gradientbased recurrent neural networks (RNNs) suffer from a vanishing error signal...

LSTM
 Referenced in 25 articles
[sw03373]
 human brain is a recurrent neural network (RNN): a network of neurons with feedback connections...

nnet
 Referenced in 16 articles
[sw07922]
 package nnet: Feedforward Neural Networks and Multinomial LogLinear Models. Software for feedforward ... neural networks with a single hidden layer, and for multinomial loglinear models...