Estimation of Water-Use Rates Based on Hydro-Meteorological Variables Using Deep Belief Network
نویسندگان
چکیده
منابع مشابه
Facial Expression Recognition Using Deep Belief Network
Emotional understanding and expression is a fundamental basis for human-computer interaction, and how to read the human mind through facial expression recognition technology has become a hot issue. Large dimension of image data, sample calibration difficulties, and small size training sample set make the efficient facial expression recognition task difficult. DBN (Deep Belief Network) achieves ...
متن کاملassessment of the efficiency of s.p.g.c refineries using network dea
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
A Vehicle Detection Algorithm Based on Deep Belief Network
Vision based vehicle detection is a critical technology that plays an important role in not only vehicle active safety but also road video surveillance application. Traditional shallow model based vehicle detection algorithm still cannot meet the requirement of accurate vehicle detection in these applications. In this work, a novel deep learning based vehicle detection algorithm with 2D deep be...
متن کاملAn adaptive estimation method to predict thermal comfort indices man using car classification neural deep belief
Human thermal comfort and discomfort of many experimental and theoretical indices are calculated using the input data the indicator of climatic elements are such as wind speed, temperature, humidity, solar radiation, etc. The daily data of temperature، wind speed، relative humidity، and cloudiness between the years 1382-1392 were used. In the First step، Tmrt parameter was calculated in the Ray...
متن کاملPseudo Boosted Deep Belief Network
A computationally efficient method to improve classification performance of a Deep Belief Network(DBN) is introduced. In the Pseudo Boost Deep Belief Network(PB-DBN), top layers are boosted while lower layers of the base classifiers share weights for feature extraction. PB-DBN maintains the same time complexity as a DBN with fast convergence to optimality by introducing the mechanism of pseudo ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Water
سال: 2020
ISSN: 2073-4441
DOI: 10.3390/w12102700