Articles with "bpnn" as a keyword



The pollutant concentration prediction model of NNP-BPNN based on the INI algorithm, AW method and neighbor-PCA

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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

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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

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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

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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

An adaptive operation planning and EBO-BPNN optimization method for decision support systems

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Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-72808-y

Abstract: Formulating a course of action (COA) before a combat is crucial for operational command. Research in command and control (C2) artificial intelligence is currently focused on using intelligent auxiliary decision-making methods to implement COA. This… read more here.

Keywords: coa; decision; model; bpnn ... See more keywords

Application of adaptive GA-BPNN based on weibull distribution for autonomous greenhouse ventilation

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-27333-x

Abstract: The agricultural sector confronts escalating challenges, including population growth, climate change, and constrained land resources. Addressing these issues requires agricultural methods to evolve into more intelligent, sustainable, and efficient practices in order to satisfy the… read more here.

Keywords: greenhouse; ventilation control; propagation neural; bpnn ... 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

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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

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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

Prediction of the classification of the pedestrian landing mechanism in pedestrian-vehicle collisions

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Published in 2024 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"

DOI: 10.1177/09544070241259899

Abstract: To predict the classification of the pedestrian landing mechanism in pedestrian-vehicle collisions, 1303 reconstructed real pedestrian-vehicle collision cases were selected, and relevant data from before, during, and after the collisions were extracted. A total of… read more here.

Keywords: classification pedestrian; pedestrian landing; prediction; mechanism ... See more keywords

Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose

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Published in 2024 at "BMC Medical Research Methodology"

DOI: 10.1186/s12874-024-02442-9

Abstract: Accurate fasting plasma glucose (FPG) trend prediction is important for management and treatment of patients with type 2 diabetes mellitus (T2DM), a globally prevalent chronic disease. (Generalised) linear mixed-effects (LME) models and machine learning (ML)… read more here.

Keywords: fpg; mixed effects; model; fasting plasma ... See more keywords

The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture

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Published in 2025 at "PLOS ONE"

DOI: 10.1371/journal.pone.0317277

Abstract: This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm—Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. To achieve this, irrigation flow prediction in agricultural fields is… read more here.

Keywords: ega bpnn; prediction; bpnn; model ... See more keywords