Fast and improved backpropagation learning of multi‐layer artificial neural network using adaptive activation function
In the conventional backpropagation (BP) learning algorithm used for the training of the
connecting weights of the artificial neural network (ANN), a fixed slope− based sigmoidal …
connecting weights of the artificial neural network (ANN), a fixed slope− based sigmoidal …
[PDF][PDF] Performance analysis of artificial neural networks training algorithms and transfer functions for medium-term water consumption forecasting
LCP Velasco, ARB Granados, JMA Ortega… - … Journal of Advanced …, 2018 - researchgate.net
Artificial Neural Network (ANN) is a widely used machine learning pattern recognition
technique in predicting water resources based on historical data. ANN has the ability to …
technique in predicting water resources based on historical data. ANN has the ability to …
[PDF][PDF] Day-ahead load forecasting using support vector regression machines
LCP Velasco, DLL Polestico, DMM Abella… - … Journal of Advanced …, 2018 - researchgate.net
Accurate day-ahead load prediction plays a significant role to electric companies because
decisions on power system generations depend on future behavior of loads. This paper …
decisions on power system generations depend on future behavior of loads. This paper …
Training based segmentation for tissue extraction in whole slide image
JP Lagos - 2019 - trepo.tuni.fi
Reducing the time and storage memory required for scanning whole slide images (WSIs) is
crucial. In this thesis work we tested and assessed the performance of two popular neural …
crucial. In this thesis work we tested and assessed the performance of two popular neural …