The pollutant concentration prediction model of NNP-BPNN based on the INI algorithm, AW method and neighbor-PCA
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0837-9
Abstract: At present, the numerical prediction models fail to predict effectively due to the lack of basic data of pollutant concentration in a short term in China. Therefore, it is necessary to study the statistical prediction… read more here.
Keywords: nnp bpnn; model; prediction; algorithm ... See more keywords
Fractional Order BPNN for Estimating State of Charge of Lithium-ion Battery under Temperature Influence
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2056
Abstract: Abstract State of charge (SOC) estimation for lithium-ion battery (LIB) is always a vital issue for battery management system (BMS) of LIBs. Due to the complex nonlinear characteristics of LIBs, data-driven model and estimation methods… read more here.
Keywords: state charge; battery; temperature; bpnn ... See more keywords
Salp swarm optimizer for modeling the software fault prediction problem
Sign Up to like & getrecommendations! Published in 2021 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2021.01.015
Abstract: Abstract This paper proposes the salp swarm algorithm (SSA) combined with a backpropagation neural network (BPNN) to solve the software fault prediction (SFP) problem. The SFP problem is one of the well-known software engineering problems… read more here.
Keywords: salp swarm; problem; software fault; prediction ... See more keywords
Predicting Pyrolysis of a Wide Variety of Petroleum Coke Using an Independent Parallel Reaction Model and a Backpropagation Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.2c04866
Abstract: In this work, the pyrolysis behavior and gaseous products of petroleum coke were investigated by nonisothermal thermogravimetric analysis (TGA) and thermogravimetry–mass spectrometry (TG–MS). Then, the pyrolysis kinetics of six kinds of petroleum coke (Fushun (FS),… read more here.
Keywords: bpnn; pyrolysis; model; petroleum coke ... See more keywords
Numerical Investigation of the Dynamic Responses of Long-Span Bridges With Consideration of the Random Traffic Flow Based on the Intelligent ACO-BPNN Model
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2840333
Abstract: With emphasis on long-span bridges, the dynamic responses of bridges without considering random traffic flows were found to be different from actual situations. The introduction of a random traffic flow model provides a new approach… read more here.
Keywords: aco bpnn; bpnn model; bpnn; model ... See more keywords
Impact of ANN in Revealing of Viral Peptides
Sign Up to like & getrecommendations! Published in 2022 at "BioMed Research International"
DOI: 10.1155/2022/7760734
Abstract: All organisms contain antimicrobial peptides (AMPs), which are a critical component of the innate immune system. These chemicals have the ability to suppress the growth of a variety of fungi, bacteria, and viruses. Because AMPs… read more here.
Keywords: bpnn; ann revealing; viral peptides; revealing viral ... See more keywords
The CIPCA-BPNN Failure Prediction Method Based on Interval Data Compression and Dimension Reduction
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11083448
Abstract: This paper proposes a complete-information-based principal component analysis (CIPCA)-back-propagation neural network (BPNN)_ fault prediction method using real unmanned aerial vehicle (UAV) flight data. Unmanned aerial vehicles are widely used in commercial and industrial fields. With… read more here.
Keywords: data compression; method; prediction method; failure ... See more keywords