Thermal conductivity prediction of foods by Neural Network
and Fuzzy (ANFIS) modeling techniques

QR Code

Thermal conductivity prediction of foods by Neural Network and Fuzzy (ANFIS) modeling techniques

A neuro-fuzzy modeling technique was used to predict the effective of thermal conductivity of various fruits and vegetables. A total of 676 data point was used to develop the neuro-fuzzy model considering the inputs as the fraction of water content, temperature and apparent porosity of food materi...

Full description

Bibliographic Details
Main Authors:	Rahman, Muhammad Shafiur, Rashid, Muhammad Mahbubur, Hussain, Mohamed Azlan
Format:	Article
Language:	English
Published:	0960-3085 2012
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/15026/ http://irep.iium.edu.my/15026/1/thermal.pdf

Similar Items

Anfis and neural network techniques for non-paametric modelling of a twin rotor system
by: Toha, Siti Fauziah, et al.
Published: (2010)

Adaptive Network Fuzzy Inference System (ANFIS) Handoff Algorithm
by: Kwong, Chiew Foong, et al.
Published: (2009)

Predicting online banking fraud using adaptive neuro-fuzzy inference system (ANFIS)
by: Zammarah, Nuha Abdullah, et al.
Published: (2017)

Long –term load forecasting of power systems using Artificial Neural Network and ANFIS
by: Ammar, Naji, et al.
Published: (2018)

Application of ANFIS system in prediction of machining parameters
by: Shirdar, Mostafa Rezazadeh, et al.
Published: (2011)

Refinement of generated weighted fuzzy production rules by using fuzzy neural networks for stock market prediction.
by: Md. Sap, Mohd. Noor, et al.
Published: (2005)

Voltage stability analysis of load buses in electric power system using adaptive neuro-fuzzy inference system (anfis) and probabilistic neural network (pnn)
by: Mohamad Nor, Ahmad Fateh, et al.
Published: (2017)

Covid-19 Misinformation Classification On Twitter In Malaysia Using A Hybrid Adaptive Neuro-Fuzzy Inferences System (Anfis) And Deep Neural Network (Dnn)
by: Ravichandran, Bhavani Devi
Published: (2023)

Stock Trend Prediction With Neural Network Techniques
by: Abdullah, Mohd Haris Lye
Published: (2003)

Stock Trend Prediction With Neural Network Techniques
by: Mohd Haris Lye Abdullah,
Published: (2003)

Comparison between prediction capabilities of neural network and fuzzy logic techniques for L and slide susceptibility mapping.
by: Pradhan, Biswajeet, et al.
Published: (2010)

Detection of epileptic spikes in egg signal using wavelet transform and adaptive neuro – fuzzy inference system(ANFIS) techniques
by: Khosropanah, Pegah, et al.
Published: (2012)

Application of ANFIS in Predicting of TiAlN Coatings Hardness
by: Mohamad Jaya, Abdul Syukor, et al.
Published: (2011)

Application of ANFIS in Predicting of TiAlN Coatings Hardness
by: Mohamad Jaya, Abdul Syukor, et al.
Published: (2011)

Artificial neural network modeling for predicting thermal conductivity of EG/water-based CNC nanofluid for engine cooling using different activation functions
by: Hasan, Md. Munirul, et al.
Published: (2024)

A hybridization of neural network and fuzzy logic technique in pattern classification
by: Hwa, Li Li
Published: (2011)

ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
by: Mahmoud, Thair S., et al.
Published: (2010)

Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: K.G., Tay, et al.
Published: (2019)

Application of ANFIS in predicting TiAlN coatings flank wear
by: Hasan Basari, Abd Samad, et al.
Published: (2011)

Predicting Hydraulic conductivity (k) of tropical soils by using artificial neural network (ANN)
by: Lim, D.K.H, et al.
Published: (2009)

Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network
by: Ismaila, A.Y., et al.
Published: (2024)

Adaptive Neuro-Fuzzy Inference System (Anfis) to Predict Ci Engine Parameters Fueled with Nano-Particles Additive to Diesel Fuel
by: M., Ghanbari, et al.
Published: (2015)

Application of Artificial Neural Networks (ANN) for prediction the performance of a dual fuel internal combustion engine
by: M I, JAHIRUL, et al.
Published: (2009)

Simple and computationally efficient movement classification approach for EMG-controlled prosthetic hand: ANFIS vs. artificial neural network
by: Fariman, Hessam Jahani, et al.
Published: (2015)

Color QR code recognition utilizing neural network and fuzzy logic techniques
by: Badawi, Bakri, et al.
Published: (2017)

Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease
by: Jinjiri, Wada Mohammed
Published: (2023)

Material classification of magnetic resonance images using neural fuzzy technique and fuzzy neural technique / by Mangalam Sankupellay
by: Sankupellay, Mangalam
Published: (2002)

Food intake calorie prediction using generalized regression neural network
by: Gunawan, Teddy Surya, et al.
Published: (2019)

Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model
by: Tahseen , T.A., et al.
Published: (2014)

Controlling traffic flow in multilane-isolated intersection using ANFIS approach techniques
by: Lai, Ghuan Rhung, et al.
Published: (2015)

Evolving Fuzzy Neural Network Based Load Prediction Model In Dynamic Cell Sizing
by: Angela, Amphawan
Published: (2003)

Evolving Fuzzy Neural Network Based Load Prediction Model In Dynamic Cell Sizing
by: Angela, Amphawan
Published: (2003)

Artificial neural network application in sediment prediction: a review
by: Nda, Muhammad, et al.
Published: (2020)

Prediction of the thermal conductivity of metal hydrides - The inverse problem
by: Mohd Fahmi Abdul, Ghafir, et al.
Published: (2009)

Soil erosion prediction based on ANFIS and RUSLE model / Md. Rabiul Islam
by: Md. Rabiul, Islam
Published: (2018)

Digital photography based food intake prediction using artificial neural network
by: Gunawan, Teddy Surya, et al.
Published: (2017)

Implementation of ANFIS-based UPQC for power quality and thermal management enhancement in the distribution system
by: Veerendra, Arigela Satya, et al.
Published: (2024)

Committee neural networks with fuzzy genetic algorithm.
by: Jafari , S.A., et al.
Published: (2011)

A review of training methods of ANFIS for applications in business and economic
by: Mohd Salleh, Mohd Najib, et al.
Published: (2016)

A review of training methods of ANFIS for applications in business and economics
by: Mohd Salleh, Mohd Najib, et al.
Published: (2016)