• CIXL2

  • Referenced in 19 articles [sw03302]
  • each network in a ensemble of neural networks. The results obtained are above the performance...
  • nnet

  • Referenced in 14 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...
  • CliffMath

  • Referenced in 20 articles [sw04955]
  • limited to, wireless communications, neural networks, electrical circuits, transportation, and the world wide web. Examples...
  • NeC4.5

  • Referenced in 11 articles [sw20994]
  • tree is with good comprehensibility while neural network ensemble is with strong generalization ability ... algorithm NeC4.5. This algorithm trains a neural network ensemble at first. Then, the trained ensemble ... NeC4.5 is better than that of neural network ensemble. Moreover, experiments show that the generalization...
  • CliffOC

  • Referenced in 18 articles [sw04957]
  • limited to, wireless communications, neural networks, electrical circuits, transportation, and the world wide web. Examples...
  • DeepFace

  • Referenced in 18 articles [sw21625]
  • representation from a nine-layer deep neural network. This deep network involves more than...
  • Spikenet

  • Referenced in 12 articles [sw08892]
  • networks of spiking neurons. Many biological neural network models face the problem of scalability because ... such a mechanism in SpikeNET, our neural network simulation package. The type of model...
  • SNNS

  • Referenced in 12 articles [sw11828]
  • SNNS (Stuttgart Neural Network Simulator) is a software simulator for neural networks on Unix workstations ... environment for research on and application of neural nets...
  • Flavia

  • Referenced in 12 articles [sw22234]
  • Plant Classification using PNN (Probabilistic Neural Network). The purpose of this MATLAB program ... them. We utilize the PNN (Probabilistic Neural Network) to implement this AI process. 12 characters...
  • BinaryNet

  • Referenced in 9 articles [sw35872]
  • Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained ... introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights...
  • MatConvNet

  • Referenced in 11 articles [sw15651]
  • MatConvNet – convolutional neural networks for MATLAB. MatConvNet is an open source implementation of Convolutional Neural...
  • GenSoFNN

  • Referenced in 9 articles [sw08761]
  • GenSoFNN: a generic self-organizing fuzzy neural network. Existing neural fuzzy (neuro-fuzzy) networks proposed ... training. The second group of neural fuzzy networks, on the other hand, is able ... named the generic self-organizing fuzzy neural network (GenSoFNN). The GenSoFNN network has strong noise ... proposed GenSoFNN network and its performance is encouraging when benchmarked against other neural and neural...
  • SHARK

  • Referenced in 15 articles [sw13542]
  • well as kernel-based methods, neural networks, and other machine learning techniques...
  • SEMINT

  • Referenced in 15 articles [sw00845]
  • SEMINT) is a tool based on neural networks to assist in identifying attribute correspondences...
  • NNSYSID

  • Referenced in 10 articles [sw12172]
  • MATLAB toolbox for system identification with neural networks. The NNSYSID toolset for System Identification ... nonlinear model structures based on neural networks, effective training algorithms and tools for model validation...
  • Reluplex

  • Referenced in 7 articles [sw31367]
  • Efficient SMT Solver for Verifying Deep Neural Networks. Deep neural networks have emerged ... technique for verifying properties of deep neural networks (or providing counter-examples). The technique ... crucial ingredient in many modern neural networks. The verification procedure tackles neural networks ... technique on a prototype deep neural network implementation of the next-generation airborne collision avoidance...
  • ALGLIB

  • Referenced in 14 articles [sw04806]
  • features include: Data analysis (classification/regression, including neural networks); Optimization and nonlinear solvers; Interpolation and linear/nonlinear...
  • SURROGATES

  • Referenced in 14 articles [sw07575]
  • kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error...
  • AdaBoost.RT

  • Referenced in 14 articles [sw08520]
  • other boosting methods, bagging, artificial neural networks, and a single M5 model tree. The preliminary...
  • ASMOD

  • Referenced in 14 articles [sw02122]
  • important application area for artificial neural networks and other learning paradigms. Splines have been used...