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PREDICTION OF OPTIMUM LOCATION OF BUILDING WITH SELF LEARNING ANN: RECENT ADVANCEMENTS IN STRUCTURAL ENGINEERING - VOLUME V - Softcover
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Rapid urbanization and complex designs drive the building industry to adopt AI and ML for faster, safer, and more cost-efficient solutions. In this research book, soil investigation reports were used to define site-specific parameters and 10 distinct building cases were analyzed using building analysis software, each with individual spring stiffness (K). A Python-based ML approach was developed to predict optimum multistory structural configurations focusing on column axial force. The AI–ML code, comprising two stages, identifies inputs, generates plots using Matplotlib v3.10.3 and compares predicted versus actual values to evaluate MSE and R². Data preprocessing utilized Pandas v2.0.3 and NumPy v1.26.4, while Linear Regression and ANN models (TensorFlow v2.16.1, sklearn v1.3.0) were trained on an 80:20 split. The ANN achieved an MSE of 0 and R² of 1, marking superior accuracy and efficiency for structural design optimization.Keywords – AI based Prediction, Machine Learning, Python Programming, Multistory Buildings, Optimization, Structural Design, Data Analysis, Model Training and Computational Efficiency.
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Prediction of Optimum Location of Building with Self Learning Ann
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Prediction of Optimum Location of Building with Self Learning Ann
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PREDICTION OF OPTIMUM LOCATION OF BUILDING WITH SELF LEARNING ANN: RECENT ADVANCEMENTS IN STRUCTURAL ENGINEERING - VOLUME V
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PREDICTION OF OPTIMUM LOCATION OF BUILDING WITH SELF LEARNING ANN
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PREDICTION OF OPTIMUM LOCATION OF BUILDING WITH SELF LEARNING ANN : RECENT ADVANCEMENTS IN STRUCTURAL ENGINEERING - VOLUME V
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rapid urbanization and complex designs drive the building industry to adopt AI and ML for faster, safer, and more cost-efficient solutions. In this research book, soil investigation reports were used to define site-specific parameters and 10 distinct building cases were analyzed using building analysis software, each with individual spring stiffness (K). A Python-based ML approach was developed to predict optimum multistory structural configurations focusing on column axial force. The AI-ML code, comprising two stages, identifies inputs, generates plots using Matplotlib v3.10.3 and compares predicted versus actual values to evaluate MSE and R . Data preprocessing utilized Pandas v2.0.3 and NumPy v1.26.4, while Linear Regression and ANN models (TensorFlow v2.16.1, sklearn v1.3.0) were trained on an 80:20 split. The ANN achieved an MSE of 0 and R of 1, marking superior accuracy and efficiency for structural design optimization.Keywords - AI based Prediction, Machine Learning, Python Programming, Multistory Buildings, Optimization, Structural Design, Data Analysis, Model Training and Computational Efficiency. Seller Inventory # 9786209211232
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Prediction of Optimum Location of Building with Self Learning Ann (Paperback)
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Paperback. Condition: new. Paperback. Rapid urbanization and complex designs drive the building industry to adopt AI and ML for faster, safer, and more cost-efficient solutions. In this research book, soil investigation reports were used to define site-specific parameters and 10 distinct building cases were analyzed using building analysis software, each with individual spring stiffness (K). A Python-based ML approach was developed to predict optimum multistory structural configurations focusing on column axial force. The AI-ML code, comprising two stages, identifies inputs, generates plots using Matplotlib v3.10.3 and compares predicted versus actual values to evaluate MSE and R2. Data preprocessing utilized Pandas v2.0.3 and NumPy v1.26.4, while Linear Regression and ANN models (TensorFlow v2.16.1, sklearn v1.3.0) were trained on an 80:20 split. The ANN achieved an MSE of 0 and R2 of 1, marking superior accuracy and efficiency for structural design optimization.Keywords - AI based Prediction, Machine Learning, Python Programming, Multistory Buildings, Optimization, Structural Design, Data Analysis, Model Training and Computational Efficiency. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209211232
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PREDICTION OF OPTIMUM LOCATION OF BUILDING WITH SELF LEARNING ANN: RECENT ADVANCEMENTS IN STRUCTURAL ENGINEERING - VOLUME V
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ISBN 13: 9786209211232
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PREDICTION OF OPTIMUM LOCATION OF BUILDING WITH SELF LEARNING ANN
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LAP LAMBERT Academic Publishing Nov 2025, 2025
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ISBN 13: 9786209211232
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Rapid urbanization and complex designs drive the building industry to adopt AI and ML for faster, safer, and more cost-efficient solutions. In this research book, soil investigation reports were used to define site-specific parameters and 10 distinct building cases were analyzed using building analysis software, each with individual spring stiffness (K). A Python-based ML approach was developed to predict optimum multistory structural configurations focusing on column axial force. The AI-ML code, comprising two stages, identifies inputs, generates plots using Matplotlib v3.10.3 and compares predicted versus actual values to evaluate MSE and R . Data preprocessing utilized Pandas v2.0.3 and NumPy v1.26.4, while Linear Regression and ANN models (TensorFlow v2.16.1, sklearn v1.3.0) were trained on an 80:20 split. The ANN achieved an MSE of 0 and R of 1, marking superior accuracy and efficiency for structural design optimization.Keywords - AI based Prediction, Machine Learning, Python Programming, Multistory Buildings, Optimization, Structural Design, Data Analysis, Model Training and Computational Efficiency.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Seller Inventory # 9786209211232
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PREDICTION OF OPTIMUM LOCATION OF BUILDING WITH SELF LEARNING ANN: RECENT ADVANCEMENTS IN STRUCTURAL ENGINEERING - VOLUME V
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ISBN 10: 6209211232
ISBN 13: 9786209211232
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PREDICTION OF OPTIMUM LOCATION OF BUILDING WITH SELF LEARNING ANN | RECENT ADVANCEMENTS IN STRUCTURAL ENGINEERING - VOLUME V
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Taschenbuch. Condition: Neu. PREDICTION OF OPTIMUM LOCATION OF BUILDING WITH SELF LEARNING ANN | RECENT ADVANCEMENTS IN STRUCTURAL ENGINEERING - VOLUME V | Shakeela Shaikh (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209211232 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 134402339
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