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Found 6 papers, 3 papers with code
Which is the best model for my data?
In this paper, we tackle the problem of selecting the optimal model for a given structured pattern classification dataset.
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.
Measuring Wind Turbine Health Using Drifting Concepts
In this paper, we propose two new approaches for the analysis of wind turbine health.
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification
Besides, we propose a recurrence-aware decision model that evades the issues posed by the unique fixed point while introducing a deterministic learning algorithm to compute the tunable parameters.
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.
