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نمایش تعداد 1-6 از 6

Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization

نوع: Journal Paper

نویسنده : Fatai Anifowose; Abdulazeez Abdulraheem

سال: 2011

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Residual Strength of Corroded Reinforced Concrete Beams Using an Adaptive Model Based on ANN

نوع: Journal Paper

نویسنده : Ashhad Imam; Fatai Anifowose; Abul Kalam Azad

سال: 2015

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Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density

نوع: Journal Paper

نویسنده : Hasan A. Nooruddin; Fatai Anifowose; Abdulazeez Abdulraheem

سال: 2014

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Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study

نوع: Journal Paper

نویسنده : Fatai Anifowose; Suli Adeniye; Abdulazeez Abdulraheem

سال: 2014

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Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines

نوع: Journal Paper

نویسنده : Fatai Anifowose; Jane Labadin; Abdulazeez Abdulraheem

سال: 2015

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Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence models

نوع: Journal Paper

نویسنده : Fatai Anifowose; Suli Adeniye; Abdulazeez Abdulraheem; Abdullatif Al-Shuhail

سال: 2016

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Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization

Residual Strength of Corroded Reinforced Concrete Beams Using an Adaptive Model Based on ANN

Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density

Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study

Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines

Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence models

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Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization

Residual Strength of Corroded Reinforced Concrete Beams Using an Adaptive Model Based on ANN

Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density

Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study

Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines

Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence models