Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow Parallel Reinforcement Evolutionary ANN

Parallel Reinforcement Evolutionary ANN Web Site

Other Useful Business Software
Ship Agents Faster Icon
Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Parallel Reinforcement Evolutionary ANN!

Additional Project Details

Operating Systems

Linux

Intended Audience

Developers

Programming Language

C++

Related Categories

C++ Robotics Software, C++ Machine Learning Software, C++ Reinforcement Learning Frameworks, C++ Reinforcement Learning Libraries, C++ Reinforcement Learning Algorithms

Registered

2010-01-26