Výsledky vyhľadávania - "Feed-forward backpropagation algorithm"

Forecasting Electricity Consumption in Riau Province Using the Artificial Neural Network (ANN) Feed Forward Backpropagation Algorithm for the 2024-2027 Autor Tengku Reza Suka Alaqsa, Zulfatri Aini, Liliana, Nanda Putri Miefthawati

“…Electricity production in Riau Province fluctuates between surplus and deficit, as reported by the Central Statistics Agency. From a peak of 3,758.75 GWh in…”
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MODELLING REFERENCE EVAPOTRANSPIRATION USING FEED FORWARD BACKPROPAGATION ALGORITHM IN ARID REGIONS OF AFRICA Autor Wang, Yu-Min, Traore, Seydou, Kerh, Tienfuan, Leu, Jan-Mou

“…Modelling of the evapotranspiration process is central for efficient management of agricultural water resources in arid regions. Reference evapotranspiration…”
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Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models Autor Khairudin, Khairunnisa, Ul-Saufie, Ahmad Zia, Senin, Syahrul Fithry, Zainudin, Zaki, Rashid, Ammar Mohd, Abu Bakar, Noor Fitrah, Anas Abd Wahid, Muhammad Zakwan, Azha, Syahida Farhan, Abd-Wahab, Firdaus, Wang, Lei, Sahar, Farisha Nerina, Osman, Mohamed Syazwan

“… Among the mathematical modelling methods employed are artificial neural networks with feed-forward backpropagation algorithms and radial basis functions…”
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Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks Autor Rakesh Dutta, Ajay Singh, Tammineni Gnananandarao

“…Prediction of the free swell index of the expansive soil using artificial neural network has been presented in this paper.  Input parameters for the artificial…”
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Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks Autor Rakesh Dutta, Radha Rani, Tammineni Gnananandarao

“…The paper presents the prediction of ultimate bearing capacity of different regular shaped skirted footing resting on sand using artificial neural network. The…”
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ANN Model for Designing Stub Microstrip LowPass Filters Autor Kushwah, Vivek Singh, Charyulu, M.L.N., Tomar, Geetam Singh

“…Using neural network technology, the design technology of the stubbed microstrip low-pass filter is given. The required length of the microstrip filter is used…”
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Fault Diagnosis of RC-coupled Amplifier Using Slope Fault Feature and Comparision with Different Neural Networks Autor Gupta, Shashank Kumar, Ayub, Shahanaz, Saini, J. P.

“…This paper describe fault diagnosis of RC-Coupled amplifier using slope fault feature. These slope fault feature technique utilized to construct the fault…”
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Phytoremediation of nitrogen and phosphorus pollutants from glass industry effluent by using water hyacinth (Eichhornia crassipes (Mart.) Solms): Application of RSM and ANN techniques for experimental optimization Autor Singh, Jogendra, Kumar, Pankaj, Eid, Ebrahem M., Taher, Mostafa A., El-Morsy, Mohamed H. E., Osman, Hanan E. M., Al-Bakre, Dhafer A., Kumar, Vinod

“… A quadratic model of RSM and feed-forward backpropagation algorithm-based logistic model (input layer: 2 neurons, hidden layer…”
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A multi-collaborative technique for assessing the reservoir sedimentation with futuristic capacity prediction using ANN model Autor Mishra, Kartikeya, Tiwari, H. L.

“… The ANN model was developed using feed-forward backpropagation algorithm to forecast the revised water spread…”
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Predicting the Selling Price of Cars Using Business Intelligence with the Feed-forward Backpropagation Algorithms Autor Idris, Nur Oktavin, Achban, Aspian, Utiarahman, Siti Andini, Karim, Jorry, Pontoiyo, Fuad

“…The automotive industry is increasingly competitive every year by releasing cars featured with innovative specifications offered by automotive manufacturing…”
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Advancing predictive modeling in conventional solar stills: a deep learning approach leveraging data augmentation and convolutional neural networks Autor Migaybil, Hashim H., Gopaluni, Bhushan

“…[Display omitted] •Gaussian noise-based augmentation generated six synthetic samples per input, boosting data efficiency.•An optimized CNN-1D (5-128-128-128-1)…”
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Predicting the multiaxial stress-strain behavior of polyethylene terephthalate (PET) at different strain rates and temperatures above Tg by using an Artificial Neural Network Autor Teng, Fei, Menary, Gary, Malinov, Savko, Yan, Shiyong, Stevens, John Boyet

“… (Δσ) in both directions. In the present work, a feed-forward backpropagation algorithm was used to train the ANN…”
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Numerical investigation and ANN modeling of performance for hexagonal boron Nitride-water nanofluid PVT collectors Autor Büyükalaca, Orhan, Kılıç, Hacı Mehmet, Olmuş, Umutcan, Güzelel, Yunus Emre, Çerçi, Kamil Neyfel

“…[Display omitted] •hBN/water nanofluid based PVT collectors has been investigated for the first time.•hBN can be utilized as an alternative nanoparticle to…”
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Comparing the Predictability of Soft Computing and Statistical Techniques for the Prediction of Tensile Strength of Additively Manufactured Carbon Fiber Polylactic Acid Parts Autor Raj, Abhishek, Tyagi, Bobby, Goyal, Ashish, Sahai, Ankit, Sharma, Rahul Swarup

“… The primary objective of this study is to construct a robust prediction model for TS utilising soft computing methodologies, namely a two-layered feed-forward backpropagation algorithm and a hybrid…”
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Analysis and estimation of fading time from thermoluminescence glow curve by using artificial neural network Autor Isik, Esme, Isik, Ibrahim, Toktamis, Hüseyin

“… In this model, network type and transfer function are chosen as the feed-forward backpropagation algorithm and Tansig respectively for the training of the proposed ANN model…”
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Estimation of flow stress behavior of AA5083 using artificial neural networks with regard to dynamic strain ageing effect Autor Sheikh, H., Serajzadeh, S.

“… While a feed-forward backpropagation algorithm is employed to train the neural networks. Stress–strain curves in both regions are calculated by the employed model and compared with the experimental data. The comparison between the two sets of results indicates the reliability of the predictions…”
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Predicting the passive control of fluid forces over circular cylinder in a time dependent flow using neuro-computing Autor Asghar, Atif, Mahmood, Rashid, Majeed, Afraz Hussain, Alotaibi, Hammad, Refaie Ali, Ahmed

“…The objective of this research is to combine Artificial Neural Networks (ANNs) and Computational Fluid Dynamics (CFD) approaches to leverage the advantages of…”
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Development of Prediction Model for Conductive Pattern Lines Generated Through Positive Displacement Microdispensing System Using Artificial Neural Network Autor Abas, Muhammad, Naeem, Khawar, Habib, Tufail, Khan, Imran, Farooq, Umer, Khalid, Qazi Salman, Rahman, Khalid

“… For this purpose, an artificial neural network (ANN) based on a feed-forward backpropagation algorithm is adopted…”
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Neural Network for Mixture Design Optimization of Geopolymer Concrete Autor Bhogayata, Ankur, Kakadiya, Sneh, Makwana, Rinkesh

“…; namely ANN modeling. The ANN models have been developed by training and validating the input data using the sigmoid function and the feed-forward backpropagation algorithm in the hidden layers…”
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An Empirical Study of Passengers’ Perceived Satisfaction with Monorail Service Quality: Case of Kuala Lumpur, Malaysia Autor Ibrahim, Ahmad Nazrul Hakimi, Borhan, Muhamad Nazri, Osman, Mohd Haniff, Khairuddin, Faridah Hanim, Zakaria, Nur Mustakiza

“…) with a feed-forward backpropagation algorithm. The findings…”
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