• ANFIS

  • Referenced in 285 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...
  • SciANN

  • Referenced in 16 articles [sw38344]
  • physics-informed deep learning using artificial neural networks. In this paper, we introduce SciANN ... physics-informed deep learning using artificial neural networks. SciANN uses the widely used deep-learning...
  • AdaBoost.RT

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

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

  • Referenced in 7 articles [sw00263]
  • Fast Artificial Neural Network Library is a free open source neural network library, which implements ... multilayer artificial neural networks in C with support for both fully connected and sparsely connected...
  • CANN

  • Referenced in 6 articles [sw41756]
  • Constitutive artificial neural networks: a fast and general approach to predictive data-driven constitutive modeling ... this paper we introduce constitutive artificial neural networks (CANNs), a novel machine learning architecture...
  • PRED-CLASS

  • Referenced in 5 articles [sw26873]
  • PRED-CLASS: cascading neural networks for generalized protein classification and genome-wide ... applications. A cascading system of hierarchical, artificial neural networks (named PRED-CLASS) is presented...
  • ALEC

  • Referenced in 3 articles [sw02260]
  • adaptive Learning framework for optimizing artificial neural networks. In this paper we present ALEC (Adaptive ... optimizing neural networks wherein the neural network architecture, activation function, weights and learning algorithms ... explored the performance of ALEC and artificial neural networks for function approximation problems. To evaluate...
  • PyBrain

  • Referenced in 10 articles [sw12670]
  • Python-Based Reinforcement Learning, Artificial Intelligence and Neural Network Library. In fact, we came...
  • XDANNG

  • Referenced in 2 articles [sw20348]
  • XDANNG: XML based Distributed Artificial Neural Network with Globus Toolkit. Artificial Neural Network...
  • NeVer

  • Referenced in 2 articles [sw06592]
  • NeVer: a tool for artificial neural networks verification The adoption of artificial neural networks (ANNs...
  • JETNET

  • Referenced in 2 articles [sw33531]
  • JETNET 3.0 - A versatile artificial neural network package. An F77 package for feed-forward artificial...
  • ANNz

  • Referenced in 2 articles [sw21279]
  • ANNz: Photometric redshifts using Artificial Neural Networks (Collister & Lahav 2004). ANNz is a freely available ... package for photometric redshift estimation using Artificial Neural Networks. ANNz learns the relation between photometry...
  • DOSI

  • Referenced in 2 articles [sw27054]
  • DOSI: Training artificial neural networks using overlapping swarm intelligence with local credit assignment. A novel ... proposed for the training of artificial neural networks. Training of such networks is a difficult...
  • DENSER

  • Referenced in 3 articles [sw34794]
  • novel approach to automatically design Artificial Neural Networks (ANNs) using Evolutionary Computation. The algorithm...
  • OCTOPUS

  • Referenced in 3 articles [sw35319]
  • combination of hidden Markov models and artificial neural networks, OCTOPUS predicts the correct topology...
  • DistAl

  • Referenced in 103 articles [sw01746]
  • pattern classification systems. A new constructive neural network learning algorithm (DistAl) based on inter-pattern ... paper presents results of experiments using several artificial and real-world datasets. The results demonstrate...
  • DDLab

  • Referenced in 6 articles [sw07888]
  • computation, and more specifically in neural and genetic networks, artificial life, and theories of memory...
  • NeuroDiffEq

  • Referenced in 2 articles [sw32454]
  • package built with PyTorch that uses artificial neural networks (ANNs) to solve ordinary and partial...
  • ANNarchy

  • Referenced in 2 articles [sw30220]
  • framework in computational neuroscience, rate-coded neural networks, is mostly difficult or impossible to implement ... simulators. We present here the ANNarchy (Artificial Neural Networks architect) neural simulator, which allows...