This program demonstrates the use of Learning Entropy for novelty detection in time series where relatively simple real-time learning systems can instantly detect novelty in otherwise complex dynamical behaviour.

This program and the Python code is free for non-commercial use with no warranty.

Updates:
v. 1.3: Inverse z-scoring bug fixed. Unused function get_path deleted.
v. 1.2: Single-hidden layer MLP predictor implemented. Prediction horizon p - functionality fixed.
v. 1.1: "Separate Figure" button and functionality was added.

Project Samples

Learning Entropy (Demo) Module Screenshot 1

Project Activity

See All Activity >

License

MIT License

Follow Learning Entropy (Demo) Module

Learning Entropy (Demo) Module Web Site

Other Useful Business Software
The AI workplace management platform Icon
The AI workplace management platform

Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.

By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Learning Entropy (Demo) Module!

Additional Project Details

Registered

2014-06-30
Report inappropriate content