• NEURON

  • Referenced in 178 articles [sw03059]
  • delay. The performance of three published network models with very different spike patterns exhibits superlinear ... obtained up to 100 processors. Increasing one model from 500 to 40,000 realistic cells ... magnitude makes practical the running of large network simulations that could otherwise not be explored...
  • MOD-DIST

  • Referenced in 237 articles [sw07504]
  • Network and discrete location. Models, algorithms, and applications (to appear) The second edition focuses...
  • MENU-OKF

  • Referenced in 237 articles [sw07505]
  • Network and discrete location. Models, algorithms, and applications (to appear) The second edition focuses...
  • SITATION

  • Referenced in 229 articles [sw07503]
  • Network and discrete location. Models, algorithms, and applications (to appear) The second edition focuses...
  • ANFIS

  • Referenced in 266 articles [sw08730]
  • system implemented in the framework of adaptive networks. By using a hybrid learning procedure ... simulation, the ANFIS architecture is employed to model nonlinear functions, identify nonlinear components on-line ... Comparisons with artificial neural networks and earlier work on fuzzy modeling are listed and discussed...
  • SparseMatrix

  • Referenced in 617 articles [sw04629]
  • financial modeling, theoretical and quantum chemistry, chemical process simulation, mathematics and statistics, power networks...
  • Neural Network Toolbox

  • Referenced in 174 articles [sw07378]
  • Network Toolbox. Neural Network Toolbox™ provides functions and apps for modeling complex nonlinear systems that ... easily modeled with a closed-form equation. Neural Network Toolbox supports supervised learning with feedforward ... simulate neural networks. You can use Neural Network Toolbox for applications such as data fitting ... clustering, time-series prediction, and dynamic system modeling and control. To speed up training...
  • KronFit

  • Referenced in 41 articles [sw20428]
  • Kronecker graphs: an approach to modeling networks. How can we generate realistic networks? In addition ... shrinking diameters over time. Current network models and generators either fail to match several ... both. Here we propose a generative model for networks that is both mathematically tractable ... fitting the Kronecker graph generation model to large real networks. A naive approach to fitting...
  • OMNet++

  • Referenced in 65 articles [sw04170]
  • networks, Internet protocols, performance modeling, photonic networks, etc., is provided by model frameworks, developed ... There are extensions for real-time simulation, network emulation, alternative programming languages (Java, C#), database...
  • CRAN

  • Referenced in 456 articles [sw04351]
  • statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering ... homepage for further information. CRAN is a network of ftp and web servers around...
  • EPANET

  • Referenced in 43 articles [sw07618]
  • used to read in a pipe network description file, modify selected component properties, run multiple ... applications, such as optimization models, that require running many network analyses with modified input parameters ... simplify adding analysis capabilities to integrated network modeling environments based on CAD, GIS, and database...
  • SNDlib

  • Referenced in 69 articles [sw00884]
  • benchmark for testing, evaluating, and comparing network design models and algorithms, to be a source...
  • Ptolemy

  • Referenced in 78 articles [sw07459]
  • discrete event, continuous time, process networks and modal models...
  • SATO

  • Referenced in 195 articles [sw04451]
  • experimented SATO on networked workstations by using a master-slave model for communication. A simple...
  • ergm

  • Referenced in 48 articles [sw06777]
  • Simulate and Diagnose Exponential-Family Models for Networks. An integrated set of tools to analyze ... simulate networks based on exponential-family random graph models (ERGM). ”ergm” is a part...
  • Cytoscape

  • Referenced in 69 articles [sw09080]
  • Software Environment for Integrated Models of Biomolecular Interaction Networks. Cytoscape is an open source software ... project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states ... model organisms. Cytoscape’s software Core provides basic functionality to layout and query the network ... interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models...
  • AIS-BN

  • Referenced in 25 articles [sw02223]
  • exact algorithms in very large Bayesian network models, have been observed to perform poorly ... integrals and the structural advantages of Bayesian networks, (2) a smooth learning method ... tests three large real Bayesian network models available to the scientific community: the CPCS network...
  • NEST

  • Referenced in 25 articles [sw26849]
  • computer program for simulating large heterogeneous networks of point neurons or neurons with a small ... compartments. NEST is best suited for models that focus on the dynamics, size, and structure ... visual or auditory cortex of mammals. Models of network activity dynamics ... laminar cortical networks or random balanced networks. Models of spike-synchronization in feed-forward networks...
  • Bio-PEPA

  • Referenced in 102 articles [sw01361]
  • process algebra for the modelling and the analysis of biochemical networks. It is a modification ... order to handle some features of biological models, suchas stoichiometry and the use of general...
  • KONECT

  • Referenced in 37 articles [sw17480]
  • datasets in the areas of web science, network science and related areas, as well ... very heterogeneous data can be modeled as networks and consequently, a unified representation of networks...