Foundations and applications of artificial neural networks in mechanics of structures and materials are discussed
Direct and inverse problems of structural engineering are considered using neural networks as a new computational tool
Neural Networks are a new, interdisciplinary tool for information processing. Neurocomputing being successfully introduced to structural problems which are difficult or even impossible to be analysed by standard computers (hard computing). The book is devoted to foundations and applications of NNs in the structural mechanics and design of structures.
Fundamentals of Artificial Neural Networks (Z. Waszczyszyn).- Genetic Algorithms and Neural Networks (W. M. Jenkins).- Applications of Neural Networks in Modeling and Design of Structural Systems (P. Hajela).- The Neural Network Approach in Plasticity and Fracture Mechanics (P. D. Panagiotopoulos, Z. Waszczyszyn).- Neural Networks in Advanced Computational Problems (B. H. V. Topping et al.).- Neural Networks and Fuzzy Logic in Active Control of Mechanical Systems (P. Venini).
Inhaltsverzeichnis
Fundamentals of Artificial Neural Networks (Z. Waszczyszyn).- Genetic Algorithms and Neural Networks (W. M. Jenkins).- Applications of Neural Networks in Modeling and Design of Structural Systems (P. Hajela).- The Neural Network Approach in Plasticity and Fracture Mechanics (P. D. Panagiotopoulos, Z. Waszczyszyn).- Neural Networks in Advanced Computational Problems (B. H. V. Topping et al.).- Neural Networks and Fuzzy Logic in Active Control of Mechanical Systems (P. Venini).
Klappentext
Neural Networks are a new, interdisciplinary tool for information processing. Neurocomputing being successfully introduced to structural problems which are difficult or even impossible to be analysed by standard computers (hard computing). The book is devoted to foundations and applications of NNs in the structural mechanics and design of structures.
Foundations and applications of artificial neural networks in mechanics of structures and materials are discussed
Direct and inverse problems of structural engineering are considered using neural networks as a new computational tool
