product
4290155Artificial Neural Networks for Engineering Applicationshttps://www.gandhi.com.mx/artificial-neural-networks-for-engineering-applications-9780128182482/phttps://gandhi.vtexassets.com/arquivos/ids/3496877/cc6795d6-a64f-48ab-b307-96bf40c54e29.jpg?v=638385457274030000https://gandhi.vtexassets.com/arquivos/ids/3494647/cc6795d6-a64f-48ab-b307-96bf40c54e29.jpg?v=638385454172800000MXNAcademic PressOutOfStock/Ebooks/<p>Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications. - Presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods - Includes real-life scenarios where a wide range of artificial neural network architectures can be used to solve the problems encountered in engineering - Contains all the theory required to use the proposed methodologies for different applications</p>...4226030Artificial Neural Networks for Engineering Applications00https://www.gandhi.com.mx/artificial-neural-networks-for-engineering-applications-9780128182482/phttps://gandhi.vtexassets.com/arquivos/ids/3496877/cc6795d6-a64f-48ab-b307-96bf40c54e29.jpg?v=638385457274030000https://gandhi.vtexassets.com/arquivos/ids/3494647/cc6795d6-a64f-48ab-b307-96bf40c54e29.jpg?v=638385454172800000OutOfStockMXN0DIEbook20199780128182482_W3siaWQiOiI4YTY4YWI1MS1iYjRhLTQxY2MtYmE2ZC1lNzhlMDZmMmEyOWQiLCJsaXN0UHJpY2UiOjE3MjgsImRpc2NvdW50IjoxNzMsInNlbGxpbmdQcmljZSI6MTU1NSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjUtMDEtMDhUMjA6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9780128182482_<p><em>Artificial Neural Networks for Engineering Applications</em> presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications.</p><ul><li>Presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods</li><li>Includes real-life scenarios where a wide range of artificial neural network architectures can be used to solve the problems encountered in engineering</li><li>Contains all the theory required to use the proposed methodologies for different applications</li></ul>(*_*)9780128182482_<p><em>Artificial Neural Networks for Engineering Applications</em> presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications.</p><ul><li>Presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods</li><li>Includes real-life scenarios where a wide range of artificial neural network architectures can be used to solve the problems encountered in engineering</li><li>Contains all the theory required to use the proposed methodologies for different applications</li></ul>...(*_*)9780128182482_<p>Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications. - Presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods - Includes real-life scenarios where a wide range of artificial neural network architectures can be used to solve the problems encountered in engineering - Contains all the theory required to use the proposed methodologies for different applications</p>...9780128182482_Elsevier Science(*_*)9780128182482_Academic Presslibro_electonico_4f4cc443-bbd2-32af-93d9-38072a575c5d_9780128182482;9780128182482_9780128182482InglésMéxicoAcademic Presshttps://getbook.kobo.com/koboid-prod-public/elsevierrefmonographs-epub-fee6567f-0341-4b3f-b2fe-c607274111bb.epub2019-02-07T00:00:00+00:00