Results 91 to 100 of about 2,032,077 (205)

Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem

open access: yesAdvances in Mechanical Engineering, 2016
Probabilistic neural network has successfully solved all kinds of engineering problems in various fields since it is proposed. In probabilistic neural network, Spread has great influence on its performance, and probabilistic neural network will generate ...
Jiao-Hong Yi, Jian Wang, Gai-Ge Wang
doaj   +1 more source

Probabilistic prediction of rock avalanche runout using a numerical model. [PDF]

open access: yesLandslides, 2022
Aaron J   +4 more
europepmc   +1 more source

A schematic diagram of the BCI illiteracy prediction in a probabilistic framework.

open access: yes, 2014
A schematic diagram of the BCI illiteracy prediction in a probabilistic framework.
Heung-Il Suk (523359)   +4 more
core   +1 more source

Probabilistic prediction of segmental body composition in Iranian children and adolescents. [PDF]

open access: yesBMC Pediatr, 2022
Rahmani M   +5 more
europepmc   +1 more source

A probabilistic prediction-based replanning architecture for a UAV

open access: yes, 2004
A probabilistic prediction-based replanning architecture for a ...
A Nicholson (11933525)   +2 more
core  

Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning [PDF]

open access: yes
In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can ...
Thorgeirsson, Adam Thor
core   +1 more source

Bayesian Joint Probability Approach for Post‐Processing Monthly Precipitation Prediction in Northwest Iran

open access: yesWater Resources Research
The probabilistic prediction of monthly precipitation events, specifically more‐than‐normal (MN), normal (N), and less‐than‐normal (LN) events, holds significant importance in the field of water resource management.
Z. Javanshiri, M. Pakdaman
doaj   +1 more source

Nonparametric Probabilistic Prediction of Ultra-Short-Term Wind Power Based on MultiFusion–ChronoNet–AMC

open access: yesEnergies
Accurate forecasting is crucial for enhancing the flexibility and controllability of power grids. Traditional forecasting methods mainly focus on modeling based on a single data source, which leads to an inability to fully capture the underlying ...
Yan Yan, Yong Qian, Yan Zhou
doaj   +1 more source

Remodelling State-Space Prediction with Deep Neural Networks for Probabilistic Load Forecasting

open access: yes, 2022
Remodelling State-Space Prediction with Deep Neural Networks for Probabilistic Load ...
BK Panigrahi (14462613)   +3 more
core  

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