Results 71 to 80 of about 173,823 (173)

Enhancing Asset Reliability and Sustainability: A Comparative Study of Neural Networks and ARIMAX in Predictive Maintenance

Applied Sciences
Organizations strive to maximize efficiency in their manufacturing processes, yet they must also consider broader repercussions, as industrial activity directly impacts the environment and society.
Salvador Perez-Garcia, Cristina Gonzalez-Gaya, Miguel A. Sebastian   +2 more
doaj   +1 more source

Prediction of concrete compressive strength using deep neural networks based on hyperparameter optimization

Cogent Engineering
This paper describes deep neural network (DNN) models based on hyperparameter optimization for the prediction of the compressive strength of concrete. The novelty of this research lies in the implementation of optimized hyperparameters to train the DNN ...
Mohammed Naved, Mohammed Asim, Tanvir Ahmad   +2 more
doaj   +1 more source

Hybrid Network Model Based on Data Enhancement for Short-Term Power Prediction of New PV Plants

Journal of Modern Power Systems and Clean Energy
This study proposes a hybrid network model based on data enhancement to address the problem of low accuracy in photovoltaic (PV) power prediction that arises due to insufficient data samples for new PV plants.
Shangpeng Zhong, Xiaoming Wang, Bin Xu, Hongbin Wu, Ming Ding   +4 more
doaj   +1 more source

SADASNet: A Selective and Adaptive Deep Architecture Search Network with Hyperparameter Optimization for Robust Skin Cancer Classification

Diagnostics
Background/Objectives: Skin cancer is a major public health concern, where early diagnosis and effective treatment are essential for prevention. To enhance diagnostic accuracy, researchers have increasingly utilized computer vision systems, with deep ...
Günay İlker, İnik Özkan
doaj   +1 more source

Hyperparameter Selection [PDF]

, 2016
Franck Dernoncourt, Shamim Nemati, Elias Baedorf Kassis, Mohammad Mahdi Ghassemi   +3 more
openaire   +1 more source

Overtuning in Hyperparameter Optimization

Accepted at the Fourth Conference on Automated Machine Learning (Methods Track).
Schneider, Lennart, Bischl, Bernd, Feurer, Matthias   +2 more
openaire   +2 more sources

Research on the Prediction Method for Ultimate Bearing Capacity of Circular Concrete-Filled Steel Tubular Columns Based on Random Search-Optimized CatBoost Algorithm. [PDF]

Materials (Basel)
Wang Z, Wang Y, Xu X, Zhang Z, Wei Y, Luo D.   +5 more
europepmc   +1 more source

Hyperparameter (machine learning)

, 2020
Candace Moore, Bálint Botz
openaire   +1 more source

Hyperparameter optimization to enhance the performance of deep learning models for the early detection of invasive turtles in Korea. [PDF]

Sci Rep
Baek JW, Kim JI, Mun MH, Kim CB.
europepmc   +1 more source

Evolving spiking neural networks: the role of neuron models and encoding schemes in neuromorphic learning. [PDF]

Front Neurosci
Loyola-Jara B, Fernández-Rodríguez G, Baladron J.   +2 more
europepmc   +1 more source