Science Daily12d
Synchronization in neural nets: Mathematical insight into neuron readout drives significant improvements in prediction accuracy
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
Tech Xplore on MSN13d
Neuron Readout Boosts Neural Net Prediction Accuracy
Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...
EurekAlert!14d
Synchronization in neural nets: Mathematical insight into neuron readout drives significant improvements in prediction accuracy
It is widely used in areas such as finance, robotics, speech recognition, weather forecasting, natural language processing, and predicting complex nonlinear dynamical systems. What sets RC apart ...
IEEE17d
Xan Macatangay
Accuracy Of Model,Artificial Neural Network,Control Signal,Dynamic Model,Equivalent Parameters,Gaussian Process,Gaussian Process Model,Gaussian Process Regression Model,Hydrodynamic ...
Frontiers28d
Utilizing a Two-Dimensional Data-Driven Convolutional Neural Network for Long-Term Prediction of Dissolved Oxygen Content
DO trends have complex nonlinear characteristics. Therefore, the accurate prediction of DO is challenging. On this basis, a two-dimensional data-driven convolutional neural network model ...