Specification and prediction of net income using by generalized regression Neural Network (A case study)

QR Code

Specification and prediction of net income using by generalized regression Neural Network (A case study)

Forecasting the future of mining activity is noted to be the most important purpose of decision makers. Net income is a particular parameter that plays significant role in gaining the attention of investors. It is demonstrated that by indicating key parameters affecting on the net income, prediction...

Full description

Bibliographic Details
Main Authors:	Taboli, H., Paghaleh, M., Jahanshahi, A., Gholami, Raoof, Gholami, R.
Format:	Journal Article
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/18294

Similar Items

Prediction of hydrocarbon reservoirs permeability using support vector machine
by: Gholami, Raoof, et al.
Published: (2012)

Specification and prediction of nickel mobilization using artificial intelligence methods
by: Gholami, Raoof, et al.
Published: (2011)

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

Generalized regression neural network for prediction of peak outflow from dam breach
by: Sammen, Saad Shauket, et al.
Published: (2017)

Numerical simulations of casing collapse: A case study in the South of Iran
by: Gholami, Raoof, et al.
Published: (2012)

Numerical simulations of casing collapse: A case study in Southern Iran.
by: Gholami, Raoof, et al.
Published: (2012)

Comparing the Performance of Predictive Models Constructed Using the Techniques of Feed-Forword and Generalized Regression Neural Networks
by: Ajiboye, Adeleke Raheem, et al.
Published: (2016)

Static voltage stability analysis using generalized regression neural network
by: Mirzaei, Maryam, et al.
Published: (2013)

Comparison of intelligence science techniques and empirical methods for prediction of blasting vibrations
by: Mohamadnejad, M., et al.
Published: (2012)

Supervised pterygium fibrovascular redness grading using generalized regression neural network
by: Che Azemin, Mohd Zulfaezal, et al.
Published: (2014)

Application of support vector regression and artificial neural network for prediction of specific heat capacity of aqueous nanofluids of copper oxide
by: Alade, Ibrahim Olanrewaju, et al.
Published: (2020)

A new methodology to predict backbreak in blasting operation
by: Mohammadnejad, M., et al.
Published: (2013)

Applications of artificial intelligence methods in prediction of permeability in hydrocarbon reservoirs
by: Gholami, Raoof, et al.
Published: (2014)

An analytical model to predict the volume of sand during drilling and production
by: Gholami, Raoof, et al.
Published: (2016)

Support Vector Machine: Principles, Parameters, and Applications
by: Gholami, Raoof, et al.
Published: (2017)

Mechanical and Elastic Properties of Transversely Isotropic Slate
by: Gholami, Raoof, et al.
Published: (2014)

Decision usefulness of net income versus comprehensive income: case of financial firms in Malaysia
by: Leong Yew, Chong, et al.
Published: (2020)

Shear wave velocity prediction using seismic attributes and well log data
by: Gholami, Raoof, et al.
Published: (2014)

Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine
by: Mohammadnejad, M., et al.
Published: (2012)

NetRaVE: Constructing dependency networks using sparse linear regression
by: Phatak, Aloke, et al.
Published: (2010)

Assessing the application of miscible CO2 flooding in oil reservoirs: a case study from Pakistan
by: Bhatti, A., et al.
Published: (2018)

Automatic clustering of generalized regression neural network by similarity index based fuzzy c-means clustering
by: Husain, Hafizah, et al.
Published: (2004)

A methodology for wellbore stability analysis in anisotropic formations: A case study from the Canning Basin, Western Australia
by: Gholami, Raoof, et al.
Published: (2017)

Adsorption and wettability study of methyl ester sulphonate on precipitated asphaltene
by: Okafor, H., et al.
Published: (2016)

Comparison of neural networks prediction and regression analysis (MLR and PCR) in modelling nonlinear system
by: Zainal Ahmad ,, et al.
Published: (2007)

Back propagation neural network and non-linear regression models for dengue outbreak prediction
by: Husin, Nor Azura
Published: (2008)

The impact of poor cementing casing damage: A numerical simulation study
by: Hemmatian, M., et al.
Published: (2015)

Geomechanical and Numerical Studies of Casing Damages in a Reservoir with Solid Production
by: Gholami, Raoof, et al.
Published: (2015)

A methodology for wellbore stability analysis of drilling into presalt formations: A case study from southern Iran
by: Gholami, Raoof, et al.
Published: (2018)

Analyzing the reliability of convolutional neural networks on GPUs : GoogLeNet as a case study
by: Ibrahim, Younis Mohammed, et al.
Published: (2020)

Modeling of dengue outbreak prediction in Malaysia: a comparison of neural network and nonlinear regression model
by: Husin, Nor Azura, et al.
Published: (2008)

Application of seismic attributes in structural study and fracture analysis of DQ oil field, Iran
by: Maleki, S., et al.
Published: (2015)

Geostatistical modeling and spatial distribution analysis of porosity and permeability in the Shurijeh-B reservoir of Khangiran gas field in Iran
by: Hosseini, E., et al.
Published: (2018)

A thermo-poroelastic analytical approach to evaluate cement sheath integrity in deep vertical wells
by: Gholami, Raoof, et al.
Published: (2016)

Assessing the Performance of Independent Component Analysis in Remote Sensing Data Processing
by: Gholami, Raoof, et al.
Published: (2012)

Comparison of different failure criteria in prediction of safe mud weigh window in drilling practice
by: Maleki, S., et al.
Published: (2014)

Predicting the performance of traditional general contract projects: A neural network based approach
by: Mohamad Zin, Rosli, et al.
Published: (2006)

Prediction of engineering students’ academic performance using neural network and linear regression / Pauziah Mohd Arsad
by: Mohd Arsad, Pauziah
Published: (2016)

Prediction of engineering students' academic performance using neural network and linear regression / Pauziah Mohd Arsad
by: Mohd Arsad, Pauziah
Published: (2016)

Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network
by: Jang, Hyongdoo, et al.
Published: (2013)

Cannot write session to /tmp/vufind_sessions/sess_c9fduru9e6b3ddfdtrne2fa2pn