Applications of computational intelligence in concrete technology. (2022)
- Record Type:
- Book
- Title:
- Applications of computational intelligence in concrete technology. (2022)
- Main Title:
- Applications of computational intelligence in concrete technology
- Further Information:
- Note: Edited by Sakshi Gupta, Parveen Sihag, Mohindra Singh, Utku Kose.
- Editors:
- Gupta, Sakshi
Sihag, Parveen
Thakur, Mohindra Singh
Kose, Utku, 1985- - Contents:
- 1. Usage of Computational Intelligence Techniques in Concrete Technology, 2. Developing Random Forest Random Tree and Linear Regression Model to Predict Compressive Strength of Concrete Using Glass Fiber, 3. Prediction of Compressive Strength at Elevated Temperatures Using Machine Learning Methods, 4. Implementation of Machine Learning Approaches to Evaluate Flexural Strength of Concrete With Glass Fiber, 5. A Comparative Study Using ANFIS and ANN for Determining the Compressive Strength of Concrete, 6. Prediction of Concrete Mix Compressive Strength Using Waste Marble Powder: A Comparison of ANN, RF, RT, and LR models, 7. Using GA to Predict the Compressive Strength of Concrete Containing Nano-Silica, 8. Evaluation of Models by Soft Computing Techniques for the Prediction of Compressive Strength of Concrete Using Steel Fibre, 9. Using Regression Model to Estimate the Splitting Tensile Strength for the Concrete With Basalt Fiber Reinforced Concrete, 10. Prediction of Compressive Strength of Self-Compacting Concrete Containing Silica’s Using Soft Computing Techniques, 11. Using Soft Computing Techniques to Predict the Values of Compressive Strength of Concrete with Basalt Fiber Reinforced Concrete, 12. Soft Computing-Based Prediction of Compressive Strength of High Strength Concrete, 13. Forecasting Compressive Strength of Concrete Containing Nano-Silica Using Particle Swarm Optimization Algorithm and Genetic Algorithm, 14. Prediction of Ultrasonic Pulse Velocity of Concrete,1. Usage of Computational Intelligence Techniques in Concrete Technology, 2. Developing Random Forest Random Tree and Linear Regression Model to Predict Compressive Strength of Concrete Using Glass Fiber, 3. Prediction of Compressive Strength at Elevated Temperatures Using Machine Learning Methods, 4. Implementation of Machine Learning Approaches to Evaluate Flexural Strength of Concrete With Glass Fiber, 5. A Comparative Study Using ANFIS and ANN for Determining the Compressive Strength of Concrete, 6. Prediction of Concrete Mix Compressive Strength Using Waste Marble Powder: A Comparison of ANN, RF, RT, and LR models, 7. Using GA to Predict the Compressive Strength of Concrete Containing Nano-Silica, 8. Evaluation of Models by Soft Computing Techniques for the Prediction of Compressive Strength of Concrete Using Steel Fibre, 9. Using Regression Model to Estimate the Splitting Tensile Strength for the Concrete With Basalt Fiber Reinforced Concrete, 10. Prediction of Compressive Strength of Self-Compacting Concrete Containing Silica’s Using Soft Computing Techniques, 11. Using Soft Computing Techniques to Predict the Values of Compressive Strength of Concrete with Basalt Fiber Reinforced Concrete, 12. Soft Computing-Based Prediction of Compressive Strength of High Strength Concrete, 13. Forecasting Compressive Strength of Concrete Containing Nano-Silica Using Particle Swarm Optimization Algorithm and Genetic Algorithm, 14. Prediction of Ultrasonic Pulse Velocity of Concrete, 15. Evaluation of ANN and Tree-Based Techniques for Predicting the Compressive Strength of Granite Powder Reinforced Concrete, 16. Predicting Recycled Aggregates Compressive Strength in High-Performance Concrete Using Artificial Neural Networks, 17. Compressive Strength Prediction and Analysis of Concrete Using Hybrid Artificial Neural Networks … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2022
- Extent:
- 1 online resource, illustrations (black and white, and colour)
- Subjects:
- 620.136
Concrete -- Testing -- Data processing
Computational intelligence - Languages:
- English
- ISBNs:
- 9781000600582
9781000600544
9781003184331 - Related ISBNs:
- 9781032013022
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.694840
- Ingest File:
- 12_026.xml