NOTE: This project was moved to: https://github.com/eetorres

The BPANNA is a flexible Back propagation neural network, which include the Conjugate Gradient and the Levenberg-Marquardt. You can change the number of inputs, number of layers, number of neurons per layer and outputs. It included an structure editor.

Features

  • Very fast
  • C++
  • Levenberg-Marquardt
  • Conjugate Gradient
  • Step Descent
  • Arbritrary number of layers
  • Multiple outpus
  • Graphical user interface
  • Graphical error
  • Graphical structure editor
  • Spreadsheet data table

Project Samples

set the neural network Applying the trainned ANN displaying the neural network bpanna main window data displayed on the table training the neural network

Project Activity

See All Activity >

Categories

Robotics, Simulation, Artificial Intelligence, Mathematics

License

GNU General Public License version 2.0 (GPLv2)

Follow BPANNA

BPANNA Web Site

Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of BPANNA!

Additional Project Details

Operating Systems

BSD, Cygwin, Linux

Languages

English

Intended Audience

Advanced End Users, Government, Information Technology

User Interface

FLTK

Programming Language

C++

Related Categories

C++ Robotics Software, C++ Simulation Software, C++ Artificial Intelligence Software, C++ Mathematics Software

Registered

2007-03-28
Report inappropriate content