CarsonScott/Online-Relationship-Learning
Unsupervised ML algorithm for predictive modeling and time-series analysis
Implements a dynamic neural network where nodes adaptively learn firing thresholds and links learn temporal delay patterns to predict when connected nodes will activate. Information propagates through weighted connections that adjust based on prediction performance, enabling the system to discover causal relationships and temporal dependencies in streaming data without labeled examples.
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Python
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Sep 30, 2020
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