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Found 5 papers, 2 papers with code
Forward Composition Propagation for Explainable Neural Reasoning
In the proposed FCP algorithm, each neuron is described by a composition vector indicating the role of each problem feature in that neuron.
Prolog-based agnostic explanation module for structured pattern classification
Thirdly, we encode instances as a Prolog rule using the nominal values, the predefined symbols, the decision classes, and the confidence values.
Measuring Wind Turbine Health Using Drifting Concepts
In this paper, we propose two new approaches for the analysis of wind turbine health.
Online learning of windmill time series using Long Short-term Cognitive Networks
Forecasting windmill time series is often the basis of other processes such as anomaly detection, health monitoring, or maintenance scheduling.
Long Short-term Cognitive Networks
In this paper, we present a recurrent neural system named Long Short-term Cognitive Networks (LSTCNs) as a generalization of the Short-term Cognitive Network (STCN) model.
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