Keywords = Artificial neural network
Number of Articles: 12
1. Neural Models for Unconfined Compressive Strength of Kaolin clay mixed with pond ash, rice husk ash and cement

Articles in Press, Accepted Manuscript, Available Online from 28 May 2020

Akash Priyadarshee; Sunayana Chandra; Deepak Gupta; Vikas Kumar

2. A Predictive Model Based ANN for Compressive Strength Assessment of the Mortars Containing Metakaolin

Volume 4, Issue 2, Spring 2020, Pages 1-12

Yasser Sharifi; Mahmoud Hosainpoor

3. Performance Evaluation of Machine Learning Models in Predicting Dry and Wet Climatic Phases

Volume 4, Issue 1, Winter 2020, Pages 29-48

Oluwatobi Aiyelokun; Akintunde Ojelabi; Oluwole Agbede

4. Effect of MDF-Cover for Water Reservoir Evaporation Reduction, Experimental, and Soft Computing Approaches

Volume 4, Issue 1, Winter 2020, Pages 98-110

Hamidreza Ghazvinian; Hojat Karami; Saeed Farzin; Sayed Farhad Mousavi

6. Prediction of Flexural Strength of Concrete Produced by Using Pozzolanic Materials and Partly Replacing NFA by MS

Volume 3, Issue 2, Spring 2019, Pages 65-75

Kiran Mansingrao Mane; Dilip K. Kulkarni; K. B. Prakash

7. Estimation of building construction cost using artificial neural networks

Volume 3, Issue 1, Winter 2019, Pages 91-107

Viren Chandanshive; Ajay R Kambekar

8. Prediction of Concrete Properties Using Multiple Linear Regression and Artificial Neural Network

Volume 2, Issue 3, Summer 2018, Pages 27-38

Shrikant Charhate; Mansi Subhedar; Nilam Adsul

9. Connectivity and Flowrate Estimation of Discrete Fracture Network Using Artificial Neural Network

Volume 2, Issue 3, Summer 2018, Pages 13-26

Akbar Esmailzadeh; Abbas Kamali; Kurosh Shahriar; Reza Mikaeil

10. Application of ANN and ANFIS Models in Determining Compressive Strength of Concrete

Volume 2, Issue 1, Winter 2018, Pages 62-70

Zahra Keshavarz; Hojjatollah Torkian