Related references
Note: Only part of the references are listed.Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis
Moshood Onifade et al.
INTERNATIONAL JOURNAL OF COAL PREPARATION AND UTILIZATION (2022)
Estimating daily reference evapotranspiration using hybrid gamma test-least square support vector machine, gamma test-ANN, and gamma test-ANFIS models in an arid area of Iran
Akram Seifi et al.
JOURNAL OF WATER AND CLIMATE CHANGE (2020)
Process Modeling of a Biomass Torrefaction Plant
Yousef Haseli
ENERGY & FUELS (2018)
Drought modeling: a comparative study between time series and neuro-fuzzy approaches
Elham Rafiei-Sardooi et al.
ARABIAN JOURNAL OF GEOSCIENCES (2018)
Prediction of the spontaneous combustion liability of coals and coal shales using statistical analysis
M. Onifade et al.
JOURNAL OF THE SOUTHERN AFRICAN INSTITUTE OF MINING AND METALLURGY (2018)
Prediction of carbon, hydrogen, and oxygen compositions of raw and torrefied biomass using proximate analysis
Daya Ram Nhuchhen
FUEL (2016)
A state-of-the-art review of biomass torrefaction, densification and applications
Wei-Hsin Chen et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)
An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young's modulus: a study on Main Range granite
Danial Jahed Armaghani et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
A review of the correlations of coal properties with elemental composition
Jonathan P. Mathews et al.
FUEL PROCESSING TECHNOLOGY (2014)
Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN
E. Momeni et al.
MEASUREMENT (2014)
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network
Masoud Monjezi et al.
NEURAL COMPUTING & APPLICATIONS (2013)
Forecasting Spontaneous Heating Susceptibility of Indian Coals Using Neuro Fuzzy System
H. Sahu et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2013)
ANN and ANFIS performance prediction models for hydraulic impact hammers
Melih Iphar
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2012)
Revisiting the elemental composition and the calorific value of the organic fraction of municipal solid wastes
Dimitrios Komilis et al.
WASTE MANAGEMENT (2012)
A Neuro-Genetic Network for Predicting Uniaxial Compressive Strength of Rocks
M. Monjezi et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2012)
New approaches to determine the ultimate bearing capacity of shallow foundations based on artificial neural networks and ant colony optimization
Adem Kalinli et al.
ENGINEERING GEOLOGY (2011)
Prediction of rock fragmentation due to blasting using artificial neural network
A. Bahrami et al.
ENGINEERING WITH COMPUTERS (2011)
Development of a model to predict peak particle velocity in a blasting operation
H. Dehghani et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2011)
Prediction of Water Quality Index Using Neuro Fuzzy Inference System
Mrutyunjaya Sahu et al.
WATER QUALITY EXPOSURE AND HEALTH (2011)
The prediction of elemental composition of biomass based on proximate analysis
Jianfeng Shen et al.
ENERGY CONVERSION AND MANAGEMENT (2010)
When will fossil fuel reserves be diminished?
Shahriar Shafiee et al.
ENERGY POLICY (2009)
Prediction of coal grindability based on petrography, proximate and ultimate analysis using multiple regression and artificial neural network models
S. Chehreh Chelgani et al.
FUEL PROCESSING TECHNOLOGY (2008)
A correlation for calculating elemental composition from proximate analysis of biomass materials
Jigisha Parikh et al.
FUEL (2007)
A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock
C Gokceoglu et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2004)
Predicting settlement of shallow foundations using neural networks
MA Shahin et al.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2002)
A unified correlation for estimating HHV of solid, liquid and gaseous fuels
SA Channiwala et al.
FUEL (2002)
Neural methods for antenna array signal processing: A review
KL Du et al.
SIGNAL PROCESSING (2002)
Adaptive neuro-fuzzy inference system: An instant and architecture-free predictor for improved QSAR studies
YL Loukas
JOURNAL OF MEDICINAL CHEMISTRY (2001)
Share Paper
