Making predictions about environmental systems is a challenge due to the high level of uncertainty involved. In this paper we give a general formulation of prediction under uncertainty as a boundary problem. This leads to development of a methodology fo
Engineers are increasingly called to deal with practical problems related to water resources managem...
Artificial neural networks have proved an attractive approach to non-linear regression problems aris...
7 pages, 4 figures, 2 tablesThe parameters of dynamical models of biological processes always posses...
Abstract: A primary use for mathematical models, in fields such as environmental management, economi...
Abstract: Environmental decision support intends to use the best available scienti-fic knowledge to ...
The issue of whether models developed for current conditions can yield correct predictions when used...
Models of groundwater systems help to integrate knowledge about the natural and human system coverin...
Environmental decision-making is complicated by the complexity of natural systems and the often comp...
Environmental decision making is complicated by the complexity of natural systems and the generally ...
© 2020 The Authors Increasing volumes of data allow environmental scientists to use machine learning...
This paper presents a method for prediction of uncertain closed loop systems, where the uncertaintie...
Uncertainty analysis assesses the uncertainty in numerical model outputs that arises from ambiguity ...
Uncertainty in scientific predictions of outcome of decisions is currently of substantial interest, ...
This chapter examines the question of uncertainty in environmental modeling in relation to the appar...
In the support of environmental management, models are frequently used. The outcomes of these models...
Engineers are increasingly called to deal with practical problems related to water resources managem...
Artificial neural networks have proved an attractive approach to non-linear regression problems aris...
7 pages, 4 figures, 2 tablesThe parameters of dynamical models of biological processes always posses...
Abstract: A primary use for mathematical models, in fields such as environmental management, economi...
Abstract: Environmental decision support intends to use the best available scienti-fic knowledge to ...
The issue of whether models developed for current conditions can yield correct predictions when used...
Models of groundwater systems help to integrate knowledge about the natural and human system coverin...
Environmental decision-making is complicated by the complexity of natural systems and the often comp...
Environmental decision making is complicated by the complexity of natural systems and the generally ...
© 2020 The Authors Increasing volumes of data allow environmental scientists to use machine learning...
This paper presents a method for prediction of uncertain closed loop systems, where the uncertaintie...
Uncertainty analysis assesses the uncertainty in numerical model outputs that arises from ambiguity ...
Uncertainty in scientific predictions of outcome of decisions is currently of substantial interest, ...
This chapter examines the question of uncertainty in environmental modeling in relation to the appar...
In the support of environmental management, models are frequently used. The outcomes of these models...
Engineers are increasingly called to deal with practical problems related to water resources managem...
Artificial neural networks have proved an attractive approach to non-linear regression problems aris...
7 pages, 4 figures, 2 tablesThe parameters of dynamical models of biological processes always posses...