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Project Info
Duke's Choice Award

 

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Latest recommended release 2.94

In case that some of the above links is broken, all released packages are available here

Requirements
To use Neuroph you need Java 1.8

Release 2.94 brings folowing improvements:

  • Rewrite of all LMS based learning algorithms in order to better reflect the underlying mathematical model
  • Multi threaded cross-validation
  • Improved Basic Neuron Sample in Neuroph Studio, Jovana Petkovic, University of Belgrade
  • Data set visualization and statistics (display histogram with mean, std, min, max, freq for all columns) Aleksandar Arsenovic, University of Belgrade
  • Support for loading arff files into Neuroph Studio, Aleksandar Arsenovic, University of Belgrade
  • Better JUnit tests (thanks to Tijana Vujacic from University of Belgrade)
  • Benchmarking backpropagation algorithms - Mladen Savic, University of Belgrade
  • Auto MLP Mtrainer - Milan Brkic, University of Belgrade
  • Fixed bugs in image recognition wizard
  • Various other bug fixes

Help us improve Neuroph for teaching neural networks

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Fill the registration form Registration is optional, and registered users will have priority in support, feature requests, and will have opportunity to participate in closed and exclusive Neuroph events and activities.


OLDER RELEASES

Older releases are available for download here

2.93b

2.92

2.9

2.8

2.7

2.6

2.5RC2

2.5RC1

2.5. easyNeurons-1.6.zip Old Swing GUI, with support for new framework [32 Mb]
       neuroph-2.5b-with-easynurons_nb.zip Complete NetBeans project tree with sources for Neuroph framework        and easyNeurons GUI [19 Mb]

2.4. (sample OCR tools and API, stock market prediction sample, learning visualization samples, DynamicBackpropagation, BiasNeuron, min error change stop condition, pause learning feature and more)

2.3.1. (few bugfixes, improved graph view)

2.3. (Image recognition support, code samples, important API changes, improved documentation)

2.2 (improved backpropagation, gui, network error graph, training set imports, new networks and learning rules, help system)

2.1.1_beta (mainly bug fixes for the previous release)

2.1.0_beta (separated library from application, removed deprecated threading control, cleaned compilation warnings, plugins architecture, labels, improved gui)

2.0.0_alpha (added new GUI editor easyNeurons, network architectures and learning rules)

1.0.1_alpha (added serialization support and various optimizations)

1.0.0_alpha and it contains:

  • Full Java sources
  • API documentation
  • Demo application with GUI for creating and training neural networks
  • Short introductory tutorial

OTHER

NEAT Support Demo release of NEAT support for Neuroph is available for download here

Softpedia guarantees that Neuroph is 100% Free, which means it does not contain any form of malware, including but not limited to: spyware, viruses, trojans and backdoors.

 

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