Use of optimised MLP neural networks for spatiotemporal estimation of indoor environmental conditions of existing buildings
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Use of optimised MLP neural networks for spatiotemporal estimation of indoor environmental conditions of existing buildings
Authors
Keywords
Air quality, IEQ, Interpolation, MLP, NSGA-II, Thermal comfort
Journal
BUILDING AND ENVIRONMENT
Volume 205, Issue -, Pages 108243
Publisher
Elsevier BV
Online
2021-08-13
DOI
10.1016/j.buildenv.2021.108243
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Moving to a green building: Indoor environment quality, thermal comfort and health
- (2021) Rana Elnaklah et al. BUILDING AND ENVIRONMENT
- Incorporating SLAM and mobile sensing for indoor CO2 monitoring and source position estimation
- (2021) Yuan Yang et al. JOURNAL OF CLEANER PRODUCTION
- Temporal and spatial variation of PM2.5 in indoor air monitored by low-cost sensors
- (2021) Huizhong Shen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Using neural network optimized by imperialist competition method and genetic algorithm to predict water productivity of a nanofluid-based solar still equipped with thermoelectric modules
- (2020) Mehdi Bahiraei et al. POWDER TECHNOLOGY
- Application of artificial neural network (ANN) model for prediction and optimization of coronarin D content in Hedychium coronarium
- (2020) Asit Ray et al. INDUSTRIAL CROPS AND PRODUCTS
- Employing artificial bee colony and particle swarm techniques for optimizing a neural network in prediction of heating and cooling loads of residential buildings
- (2020) Guofeng Zhou et al. JOURNAL OF CLEANER PRODUCTION
- Path Loss Prediction Based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network, and Gaussian Process
- (2020) Han-Shin Jo et al. SENSORS
- A performance comparison of multi-objective optimization-based approaches for calibrating white-box building energy models
- (2020) Sandra Martínez et al. ENERGY AND BUILDINGS
- A proper model to predict energy efficiency, exergy efficiency, and water productivity of a solar still via optimized neural network
- (2020) Saeed Nazari et al. JOURNAL OF CLEANER PRODUCTION
- IndoAirSense: A framework for indoor air quality estimation and forecasting
- (2020) Praveen Kumar Sharma et al. Atmospheric Pollution Research
- Prediction of Building’s Thermal Performance Using LSTM and MLP Neural Networks
- (2020) Miguel Martínez Comesaña et al. Applied Sciences-Basel
- Spatial interpolation-based analysis method targeting visualization of the indoor thermal environment
- (2020) Zhuoyu Yu et al. BUILDING AND ENVIRONMENT
- Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality
- (2020) Nan Ma et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Heat Loss Coefficient Estimation Applied to Existing Buildings through Machine Learning Models
- (2020) Miguel Martínez-Comesaña et al. Applied Sciences-Basel
- EE-CTA: Energy efficient, concurrent and topology-aware virtual network embedding as a multi-objective optimization problem
- (2019) Arezoo Jahani et al. COMPUTER STANDARDS & INTERFACES
- Engineering characteristics of nanosilica/polymer-modified bitumen and predicting their rheological properties using multilayer perceptron neural network model
- (2019) Nur Izzi Md. Yusoff et al. CONSTRUCTION AND BUILDING MATERIALS
- An applied framework to evaluate the impact of indoor office environmental factors on occupants’ comfort and working conditions
- (2019) Maedot S. Andargie et al. Sustainable Cities and Society
- Critical factors and thresholds for user satisfaction on air quality in office environments
- (2019) Jihyun Park et al. BUILDING AND ENVIRONMENT
- Prediction of formation of polycyclic aromatic hydrocarbon (PAHs) on sediment of Caspian Sea using artificial neural networks
- (2019) Javad Sayyad Amin et al. PETROLEUM SCIENCE AND TECHNOLOGY
- Enabling full‐length evolutionary profiles based deep convolutional neural network for predicting DNA‐binding proteins from sequence
- (2019) Sucheta Chauhan et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Investigation of pitch damping derivatives for the Standard Dynamic Model at high angles of attack using neural network
- (2019) Massoud Tatar et al. AEROSPACE SCIENCE AND TECHNOLOGY
- A review of smart building sensing system for better indoor environment control
- (2019) Bing Dong et al. ENERGY AND BUILDINGS
- Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models
- (2019) Deying Li et al. Applied Sciences-Basel
- Interpolation of greenhouse environment data using multilayer perceptron
- (2019) Taewon Moon et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Herding Behaviors of grasshopper and Harris hawk for hybridizing the neural network in predicting the soil compression coefficient
- (2019) Hossein Moayedi et al. MEASUREMENT
- An Indoor Environmental Quality (IEQ) assessment of a partially-retrofitted university building
- (2018) Sheikh Zuhaib et al. BUILDING AND ENVIRONMENT
- Automated mobile sensing: Towards high-granularity agile indoor environmental quality monitoring
- (2018) Ming Jin et al. BUILDING AND ENVIRONMENT
- Climate control in broiler houses: A thermal model for the calculation of the energy use and indoor environmental conditions
- (2018) Andrea Costantino et al. ENERGY AND BUILDINGS
- A Stochastic Computational Multi-Layer Perceptron with Backward Propagation
- (2018) Yidong Liu et al. IEEE TRANSACTIONS ON COMPUTERS
- Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks
- (2018) C. Okan Sakar et al. NEURAL COMPUTING & APPLICATIONS
- Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network
- (2018) Dieu Tien Bui et al. ADVANCED ENGINEERING INFORMATICS
- A comparison of deep networks with ReLU activation function and linear spline-type methods
- (2018) Konstantin Eckle et al. NEURAL NETWORKS
- Validation of Calibrated Energy Models: Common Errors
- (2017) Germán Ruiz et al. Energies
- Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples
- (2017) Manoj Khandelwal et al. ENGINEERING WITH COMPUTERS
- Expected Improvement of Penalty-Based Boundary Intersection for Expensive Multiobjective Optimization
- (2017) Nobuo Namura et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Optimization, modeling and accurate prediction of thermal conductivity and dynamic viscosity of stabilized ethylene glycol and water mixture Al 2 O 3 nanofluids by NSGA-II using ANN
- (2017) Mohammad Hemmat Esfe et al. INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
- CFD simulation of stratified indoor environment in displacement ventilation: Validation and sensitivity analysis
- (2016) Sara Gilani et al. BUILDING AND ENVIRONMENT
- Predicting the CO 2 levels in buildings using deterministic and identified models
- (2016) Alexandros Pantazaras et al. ENERGY AND BUILDINGS
- An optimized ANN model based on genetic algorithm for predicting ripping production
- (2016) Edy Tonnizam Mohamad et al. NEURAL COMPUTING & APPLICATIONS
- MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity
- (2016) Daniel S. Yeung et al. IEEE Transactions on Neural Networks and Learning Systems
- An assessment of indoor environmental quality in schools and its association with health and performance
- (2015) Ulla Haverinen-Shaughnessy et al. BUILDING AND ENVIRONMENT
- Simulation of occupancy in buildings
- (2015) Xiaohang Feng et al. ENERGY AND BUILDINGS
- Optimal Monthly Reservoir Operation Rules for Hydropower Generation Derived with SVR-NSGAII
- (2015) Mahyar Aboutalebi et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Optimal Monthly Reservoir Operation Rules for Hydropower Generation Derived with SVR-NSGAII
- (2015) Mahyar Aboutalebi et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data
- (2014) C. Narendra Babu et al. APPLIED SOFT COMPUTING
- A fast-POD model for simulation and control of indoor thermal environment of buildings
- (2012) Kangji Li et al. BUILDING AND ENVIRONMENT
- Literature survey on how different factors influence human comfort in indoor environments
- (2010) Monika Frontczak et al. BUILDING AND ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search