Libros sobre el tema "Artificial Neural Network-based modeling"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 30 mejores mejores libros para su investigación sobre el tema "Artificial Neural Network-based modeling".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore libros sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Artificial neural network modeling of water and wastewater treatment processes. Hauppauge, N.Y: Nova Science Publishers, 2010.
Buscar texto completoKhataee, A. R. Artificial neural network modeling of water and wastewater treatment processes. Hauppauge, N.Y: Nova Science Publishers, 2010.
Buscar texto completoGuan, Biing T. Modeling training site vegetation coverage probability with a random optimization procedure: An artificial neural network approach. [Champaign, IL]: US Army Corps of Engineers, Construction Engineering Research Laboratories, 1998.
Buscar texto completoShanmuganathan, Subana y Sandhya Samarasinghe, eds. Artificial Neural Network Modelling. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28495-8.
Texto completoS, Mohan. Artificial neural network modelling. Roorkee: Indian National Committee on Hydrology, 2007.
Buscar texto completoNational Hydrology Symposium (4th 1993 Cardiff, Wales). Rainfall-runoff modeling as a problem in artificial intelligence: experience with a neural network. Fourth National Hydrology Symposium: (held at) University of Wales College of Cardiff 13-16th September 1993. (London?): British Hydrological Society, 1993.
Buscar texto completoThrun, Sebastian. Explanation-Based Neural Network Learning: A Lifelong Learning Approach. Boston, MA: Springer US, 1996.
Buscar texto completoThrun, Sebastian. Explanation-based neural network learning: A lifelong learning approach. Boston: Kluwer Academic Publishers, 1996.
Buscar texto completoWhite, Roger. The artificial intelligence of urban dynamics: Neural network modelling of urban structure. [Toronto]: Centre for Urban and Community Studies, University of Toronto, 1989.
Buscar texto completoDaniel, Sarit. Wavelet based artificial neural network and entropy detection techniques for a chaosmaker. Ottawa: National Library of Canada, 2002.
Buscar texto completoTucci, Mario y Marco Garetti, eds. Proceedings of the third International Workshop of the IFIP WG5.7. Florence: Firenze University Press, 2002. http://dx.doi.org/10.36253/88-8453-042-3.
Texto completoT, Bialasiewicz Jan y Langley Research Center, eds. Neural network modeling of nonlinear systems based on Volterra series extension of a linear model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.
Buscar texto completoDolk, Daniel. Modeling for Decision Support in Network-Based Services: The Application of Quantitative Modeling to Service Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Buscar texto completoM, Senthilkumar y Bhabha Atomic Research Centre, eds. A self-learning approach based on artificial neural network (ANN) for the characterization, analysis and inverse synthesis of thin film optical coatings. Mumbai: Bhabha Atomic Research Centre, 2001.
Buscar texto completoDi, Wei, Anurag Bhardwaj y Jianing Wei. Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling. Packt Publishing, 2018.
Buscar texto completoSamarasinghe, Sandhya y Subana Shanmuganathan. Artificial Neural Network Modelling. Springer, 2018.
Buscar texto completoSamarasinghe, Sandhya y Subana Shanmuganathan. Artificial Neural Network Modelling. Springer London, Limited, 2016.
Buscar texto completoSamarasinghe, Sandhya y Subana Shanmuganathan. Artificial Neural Network Modelling. Springer, 2016.
Buscar texto completoButyrskiy, Evgeniy y Alexandr Matveev. Mathematical modeling of systems and processes. Strategy of the Future, 2022. http://dx.doi.org/10.37468/book_011222.
Texto completoArtificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. CRC Press LLC, 2022.
Buscar texto completoWon‐Kee Hong. Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. Taylor & Francis Group, 2023.
Buscar texto completoArtificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. CRC Press LLC, 2022.
Buscar texto completoWon‐Kee Hong. Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. Taylor & Francis Group, 2023.
Buscar texto completoWon‐Kee Hong. Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. Taylor & Francis Group, 2023.
Buscar texto completoExplanation-Based Neural Network Learning: A Lifelong Learning Approach. Springer, 2012.
Buscar texto completoZohuri, Bahman y Masoud Moghaddam. Neural Network Driven Artificial Intelligence: Decision Making Based on Fuzzy Logic. Nova Science Publishers, Incorporated, 2017.
Buscar texto completoArtificial neural network-based methodologies for rational assessment of remaining life of existing pavements. El Paso, TX: Center for Highway Materials Research, University of Texas at El Paso, 1999.
Buscar texto completoGranat, Janusz y Daniel Dolk. Modeling for Decision Support in Network-Based Services: The Application of Quantitative Modeling to Service Science. Springer, 2012.
Buscar texto completoHands-On Neuroevolution with Python: Build High-Performing Artificial Neural Network Architectures Using Neuroevolution-based Algorithms. Packt Publishing, Limited, 2019.
Buscar texto completoChurchland, Patricia S. y Terrence J. Sejnowski. The Computational Brain. The MIT Press, 2018. http://dx.doi.org/10.7551/mitpress/9780262533393.001.0001.
Texto completo