Πλοήγηση ανά Θέμα "Multilayer neural networks"
Αποτελέσματα 1-7 από 7
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Deep Endoscopic Visual Measurements
(2019)Robotic endoscopic systems offer a minimally invasive approach to the examination of internal body structures, and their application is rapidly extending to cover the increasing needs for accurate therapeutic interventions. ... -
Energy Use Forecasting with the Use of a Nested Structure Based on Fuzzy Cognitive Maps and Artificial Neural Networks
(2022)The aim of this paper is to present a novel approach to energy use forecasting. We propose a nested fuzzy cognitive map in which each concept at a higher level can be decomposed into another fuzzy cognitive map, multilayer ... -
Feed Forward Neural Network Sparsification with Dynamic Pruning
(2021)A recent hot research topic in deep learning concerns the reduction of the model size of a neural network by pruning, in order to minimize its training and inference cost and thus, being capable of running on devices with ... -
Model reduction of feed forward neural networks for resource-constrained devices
(2022)Multilayer neural architectures with a complete bipartite topology have very high training time and memory requirements. Solid evidence suggests that not every connection contributes to the performance; thus, network ... -
Pose recognition using convolutional neural networks on omni-directional images
(2018)Convolutional neural networks (CNNs) are used frequently in several computer vision applications. In this work, we present a methodology for pose classification of binary human silhouettes using CNNs, enhanced with image ... -
Stochastic Heuristic Optimization of Machine Learning Estimators for Short-Term Wind Power Forecasting
(2022)The continuous fluctuation of wind speed, wind direction and other climatic variables affects the power produced by wind turbines. Accurate short-term wind power prediction models are vital for the power industry to evaluate ... -
Use of Artificial Neural Networks for Short Term Load Forecasting
(2021)In order to schedule an effective service and economical capital extension of an electric power distribution system, the system administrator must be able to predict the need for power delivery. Short Term Load Forecasting ...