DownloadThis project tries to include Time Adaptive Self-Organizing Map (TASOM) implementations for solving Computational Intelligence problems such as Pattern Recognition, Computer Vision, Clustering, Active Contour Modeling, and the like.
The TASOM has been originally introduced for adaptive and changing environments. Several versions of TASOM networks have been introduced. Some of them are capable of changing the number of neurons based on the problems at hand.
Moreover, a binary tree version of the TASOM has been introduced for faster performance.
Categories
Computer Vision LibrariesFollow Time Adaptive Self-Organizing Map
You Might Also Like
KrakenD is a high-performance API Gateway optimized for resource efficiency, capable of managing 70,000 requests per second on a single instance. The stateless architecture allows for straightforward, linear scalability, eliminating the need for complex coordination or database maintenance.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Time Adaptive Self-Organizing Map!