Artificial neural networks are powerful tools for data analysis and are particularly suitable for modelling relationships between variables for best prediction of an outcome. A large number of error functions have been proposed in the literature to achieve a better predictive power of a neural network...
We compare the performance of several losses, and propose a novel, differentiable error function. We show that the quality of the results improves significantly with better loss functions, even when the network architecture is left unchanged.
What is Loss Function in Deep Learning? A loss function in deep learning, also known as a cost function or objective function, computes the difference between a neural network’s predicted outputs and the actual target values in a dataset. It assigns a numerical value to this error, which gu...
Artificial neural network approach to network reconfiguration for loss minimization in distribution networks. Int J Electr Power Energy Syst 1998;20:247-58.Kashem, M.A., Jasmon, G.B., et al.: Artificial neural network approach to network reconfiguration for loss minimization in distribution ...
Loss function是什么？siamese network的输入是两个经过network表示后的向量，在新的向量空间中，只要能...
The loss function and the trajectories Generally speaking, the objective function or loss function in an optimization problem must be chosen in accordance with the goal of the optimized model. In neural network regression models, which we use here to find an approximation to missing terms in the...
Predicting hearing loss from otoacoustic emissions using an artificial neural network. S. Afr. J. Commun. Disord., 49, 28-39.Waal R, Hugo R, Soer M, Krüger JJ (2002) Predicting hearing loss from otoacoustic emissions using an artificial neural network. S Afr J Commun Disord 49:28–39...
artificial neutral networkcorrelation-based modelhouse energy performance simulation toolHeat loss from a building through the ground becomes relatively important as the above-grade components of the building fabric are built more energy efficient. For annual space heating and cooling load calculations that...
python machine-learning artificial-intelligence artificial-neural-networks modelling prescriptive-analytics hrm predictive-analytics loss-functions human-resources prediction-intervals loss-function custom-loss-functions prediction-interval Updated Mar 15, 2023 Python Ilike...
F. A. e. a. Ignacio, "Influence of Training Set Selection in Artificial Neural Network-Based Propagation Path Loss Prediction," International Journal of Antennas and Propagation, 2012.