منابع مشابه
Chaotic Analysis and Prediction of River Flows
Analyses and investigations on river flow behavior are major issues in design, operation and studies related to water engineering. Thus, recently the application of chaos theory and new techniques, such as chaos theory, has been considered in hydrology and water resources due to relevant innovations and ability. This paper compares the performance of chaos theory with Anfis model and discusses ...
متن کاملchaotic analysis and prediction of river flows
analyses and investigations on river flow behavior are major issues in design, operation and studies related to water engineering. thus, recently the application of chaos theory and new techniques, such as chaos theory, has been considered in hydrology and water resources due to relevant innovations and ability. this paper compares the performance of chaos theory with anfis model and discusses ...
متن کاملPublic health systems analysis - where the River Kabul meets the River Indus
In this paper we review two recent paradigmatic shifts and consider how a two-way flow in innovation has been critical to the emergence of new thinking and new practices. The first area relates to our understanding of the nature of public health systems and the shift from a medical paradigm to a more holistic paradigm which emphasises the social, economic and environmental origins of ill-health...
متن کاملProbabilistic nonlinear prediction of river flows
[1] In the recent past the nonlinear prediction (NLP) method, initially developed in the context of nonlinear time series analysis, has been successfully applied to river flow deterministic forecasting. In this work a probabilistic approach to the NLP method is proposed, which allows one to estimate the probability distribution of the predicted discharge values and to quantify the total uncerta...
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: Scientific American
سال: 1929
ISSN: 0036-8733
DOI: 10.1038/scientificamerican0529-400