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Artificial Neural Networks. In River Stage-Discharge Modeling
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Dinesh Bisht
ISBN: 9783659144707
Год издания: 2012
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 96
Издательство: LAP LAMBERT Academic Publishing
Цена: 31069 тг
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Аннотация: Management of water resources is one of the most challenging and interesting problems for the survival of the life. The demand of water is increasing in a tremendous way whereas the availability of water remains practically constant; therefore it becomes very important to study the hydrological system in a proper way. Forecasting of hydrological variables like, rainfall and runoff using past experiences is very helpful for the proper management of hydrological reservoirs as well as for warning of extreme flood or drought conditions to help to optimize the operations of systems. This book will give an introduction of Artificial Neural Networks and will be helpful to understand applications of Artificial Neural Networks in hydrology. This book also contains development of multiple linear regression models for the river stage discharge and comparison of developed multiple linear regression models with developed ANN models.
Ключевые слова: Artificial Neural Network, Back Propagation, Learning, Stage-Discharge
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 | Отрасли знаний: Точные науки -> Информатика и программирование Muhammad Atta Othman A. Khfagy Artificial Neural Networks Applied For Digital Images with Matlab Code. The Applications of Artificial Intelligence In Image Processing Field Using Matlab. 2014 г., 152 стр., мягкий переплет Artificial Neural Networks have broad applications to the real world business problems. They have already been successfully applied in many industries. Since neural networks are best at identifying patterns or trends in data, they are well suited for prediction or forecasting. These include Sales forecasting, Industrial process control, Customer... | 36704 тг |
 | Отрасли экономики: Промышленность в целом Nicolus Rotich Wind resource assessment and forecast with artificial neural networks. Fundamentals from Ab-initio. 2014 г., 96 стр., мягкий переплет The basics of artificial neural networks (ANN), applications, and implementation, are examined. The book targets multidisciplinary audience and explains the principles of neural networks in the simplest terminology. With the advent of computer software platforms in the market, no previous high level mathematical skills are required to implement an... | 34186 тг |
 | Отрасли знаний: Медицина Mark Rossman Automated Detection of Hematological Patterns Through Machine Learning. Using Feature Extraction And Artificial Neural Networks for Pattern Recognition. 2014 г., 128 стр., мягкий переплет The use of hematological analyzers has become routine in clinical practice, but the sheer volume of data produced by these devices often makes manual inspection of all the results an unwieldy task. For this reason, automated pattern analysis through the use of machine learning has been used in these types of situations, to save time and to... | 27397 тг |
 | Отрасли экономики: Промышленность в целом Suresh Jagirdar Artificial Neural Networks, A Modern Era In Computing. . 2014 г., 84 стр., мягкий переплет Artificial neural networks belong to the field of cognitive sciences which pertains to the study and applicability of the adaptive nature of human brain in solving real world problems. The architecture of a neural network system is built on a learning algorithm which can learn and adapt to input data parameters. They can be classified as nonlinear... | 25834 тг |
 | Отрасли экономики: Энергетика и электроснабжение Natalia Gotman,Galina Shumilova and Tatiana Starceva Electric load forecasting using an artificial neural networks. Methods and solutions. 2014 г., 100 стр., мягкий переплет Electric load forecasting is an important research field in electric power industry. It plays a crucial role in solving a wide range of tasks of short-term planning and operating control of electric power system operating modes. Load forecasting is carried out in different time spans. Load forecasting within a current day – operating... | 22703 тг |
 | Отрасли знаний: Точные науки -> Математика -> Статистика Sanyogita Andriyas Data mining for performance of vegetative filter strips. A comparison between prediction models : artificial neural networks (back propagation & radial basis function) vs. GRAPH. 2013 г., 216 стр., мягкий переплет The vegetative filter strips (VFS) are a best management practice. For quantifying the movement & amount of sediments & nutrients, the performance of VFS has to be modeled. Data available from the literature & recent experiments were used. Artificial runoff was created. Flow samples were analysed for concentrations for total suspended... | 50074 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Mais Mohammed Hobi and Sarab Majeed Hameed Biometrics for User Authentication Using Artificial Neural Networks. Keystroke Dynamics for User Authentication. 2013 г., 108 стр., мягкий переплет Computer systems and networks are being used in almost every aspect of our daily life, the security threats to computers and networks have increased significantly. Usually, password-based user authentication is used to authenticate the legitimate user. However, this method has many gaps such as password sharing, brute force attack, dictionary... | 34613 тг |
 | Отрасли экономики: Промышленность в целом Zhazar Toktabolat Using Artificial Neural Networks in Reservoir Characterization. Characterization of Dual Porosity Gas Reservoirs with Faults Using Artificial Neural Networks. 2013 г., 144 стр., мягкий переплет The framework of this study is to convert observed measurements of reservoir data into characteristic information of the reservoir. Artificial neural network (ANN) technology is utilized in mapping/interpolating the non-linear complex relationship between observed measurements and reservoir characteristics. The proposed ANN methodology is applied... | 42760 тг |
 | Отрасли знаний: Инженерные дисциплины -> Электротехника и электроника Hussein M. Khattab,Almoataz Y. Abdelaziz and Said F. Mekhamer Innovative Approaches for Power System Security Assessment. Artificial Neural Networks, Gene Expression Programming and Simulated Annealing. 2013 г., 224 стр., мягкий переплет Power systems security assessment and enhancement is of utmost importance as a result of power systems expansions and operation near their security limits. In this book, the assessment of power system static and transient securities is presented. Different IEEE test systems are subjected to static and transient security classification when prone... | 51468 тг |
 | Отрасли знаний: Общественные науки -> Юриспруденция Boran Sekeroglu and G?ls?m Y?ld?z As?ksoy Diagnosis Of Epilepsy Disorders Using Artificial Neural Networks. An Intelligent Automated System That can Diagnosis Of Epilepsy Disorders Using Artificial Neural Networks. 2013 г., 96 стр., мягкий переплет Artificial Neural networks have been provided an effective approach for EEG signals because of its self-adaption and natural way to organize. Artificial intelligence system based on the qualitative diagnostic criteria and decision rules of human expert could be useful as the clinical decision supporting tool for the localization of epileptogenic... | 31069 тг |