• 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 closed-form equation. Neural Network Toolbox supports supervised learning with feedforward, radial ... basis, and dynamic networks. It also supports unsupervised learning with self-organizing 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]
  • distance-based constructive learning algorithm Multi-layer networks of threshold logic units offer an attractive ... pattern classification systems. A new constructive neural network learning algorithm (DistAl) based on inter-pattern...
  • SSVM

  • Referenced in 60 articles [sw12678]
  • Musicant, IEEE Trans. Neural Networks 10, 1032-1037 (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...
  • PDE-Net

  • Referenced in 31 articles [sw36963]
  • Inspired by the latest development of neural network designs in deep learning, we propose ... feed-forward deep network, called PDE-Net, to fulfill two objectives at the same time ... learning convolution kernels (filters), and apply neural networks or other machine learning methods to approximate ... Network-In-Network (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.r-project.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 gradient-based 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: Feed-forward Neural Networks and Multinomial Log-Linear Models. Software for feed-forward ... neural networks with a single hidden layer, and for multinomial log-linear models...