This paper surveys expert systems (ES) development using a literature review and
classification of articles from 1995 to 2004 with a keyword index and article abstract in order …

Advances in the understanding of physical, chemical, and biological processes influencing
water quality, coupled with improvements in the collection and analysis of hydrologic data …

Flood prediction has gained prominence world over due to the calamitous socio-economic
impacts this hazard has and the anticipated increase of its incidence in the near future …

In order to improve the real time forecasting of foods, this paper proposes a modified Takagi
Sugeno (T–S) fuzzy inference system termed as threshold subtractive clustering based …

Accurate estimation of River flow changes is a quite important problem for a wise and
sustainable use. Such a problem is crucial to the works and decisions related to the water …

Drought causes huge losses in agriculture and has many negative influences on natural
ecosystems. In this study, the applicability of Adaptive Neuro-Fuzzy Inference System …

Western US water management is underpinned by spring-summer water supply forecasts
(WSFs) from hydrologic models forced primarily by winter mountain snowpack data. The US …

Streamflow forecasting is of great importance to water resources management and flood
defense. On the other hand, a better understanding of the streamflow process is …

In the largely dry and increasingly heavily populated western US, operational modeling
systems for seasonal river runoff volume forecasting are key elements of the practical water …

Purpose Expert systems are computer-based systems that mimic the logical processes of
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …