Results 21 to 30 of about 262,671 (119)

Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression †

Energies, 2018
Deep neural networks are proposed for short-term natural gas load forecasting. Deep learning has proven to be a powerful tool for many classification problems seeing significant use in machine learning fields such as image recognition and speech ...
Gregory D. Merkel, Richard J. Povinelli, Ronald H. Brown   +2 more
doaj   +1 more source

Deep Petri nets of unsupervised and supervised learning

Measurement + Control, 2020
Artificial intelligence is one of the hottest research topics in computer science. In general, when it comes to the needs to perform deep learning, the most intuitive and unique implementation method is to use neural network.
Yi-Nan Lin, Tsang-Yen Hsieh, Cheng-Ying Yang, Victor RL Shen, Tony Tong-Ying Juang, Wen-Hao Chen   +5 more
doaj   +1 more source

Design of an Intelligent Educational Evaluation System Using Deep Learning

IEEE Access, 2023
Nowadays, online education has been a more general demand in context of COVID-19 epidemic. The intelligent educational evaluation systems assisted by intelligent techniques are in urgent demand.
Yan Pei, Genshu Lu
doaj   +1 more source

Ambient backscatter communication-based smart 5G IoT network

EURASIP Journal on Wireless Communications and Networking, 2021
In this paper, we propose an ambient backscatter communication-based smart 5G IoT network. The network consists of two parts, namely a real-time data transmission system based on ambient backscatter communication and a real-time big data analysis system ...
Qiang Liu, Songlin Sun, Xueguang Yuan, Yang’an Zhang   +3 more
doaj   +1 more source

Development and Validation of a Nuclear Power Plant Fault Diagnosis System Based on Deep Learning

Energies, 2022
As artificial intelligence technology has progressed, numerous businesses have used intelligent diagnostic technology. This study developed a deep LSTM neural network for a nuclear power plant to defect diagnostics.
Bing Liu, Jichong Lei, Jinsen Xie, Jianliang Zhou   +3 more
doaj   +1 more source

StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity

IEEE Access, 2016
Deep neural networks are a branch in machine learning that has seen a meteoric rise in popularity due to its powerful abilities to represent and model high-level abstractions in highly complex data.
Mohammad Javad Shafiee, Parthipan Siva, Alexander Wong   +2 more
doaj   +1 more source

Fault Diagnosis Method for Aerial Sensor Based on Deep Learning [PDF]

Jisuanji gongcheng, 2017
To solve the problem of over-fitting and limited generalization ability during sensor fault diagnosis by traditional neural network,a fault diagnosis method for aerial sensor based on deep belief network observer is proposed.Shallow layer neural network ...
ZHENG Xiaofei,GUO Chuang,YAO Bin,FENG Huaxin
doaj   +1 more source

Frequency Response Mode Prediction of Power System After Large Disturbances Based on Deep Belief Neural Network

IEEE Access, 2023
The power system frequency is an important indicator that reflects the power system’s operating status. Through real-time detection or prediction, it can effectively ensure stable power system operation.
Wenzhuo Wang, Zhiwei Wang, Xin Liu, Wujing Li, Qiufang Li, Yagang Zhang, Qianchang Chen, Shuyu Guo, Zhi Xu   +8 more
doaj   +1 more source

A Solution Method for Differential Equations Based on Taylor PINN

IEEE Access, 2023
Based on deep neural network, elliptic partial differential equations in complex regions are solved. Accurate and effective strategies and numerical methods for elliptic partial differential equations are proposed by implementing deep feedforward ...
Yajuan Zhang, Min Wang, Fangwei Zhang, Zhenrui Chen   +3 more
doaj   +1 more source

Deep oscillatory neural network

Scientific Reports
We propose the Deep Oscillatory Neural Network (DONN), a brain-inspired network architecture that incorporates oscillatory dynamics into learning.
Nurani Rajagopal Rohan, C. Vigneswaran, Sayan Ghosh, Kishore Rajendran, A. Gaurav, V. Srinivasa Chakravarthy   +5 more
doaj   +1 more source