English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Artificial Neural Network (ANN) based model is a computational approachcommonly used for modeling the complex relationships between input and outputparameters. Prediction of the flow rate of a river is a requisite for anysuccessful water resource management and river basin planning. In the currentsurvey, the effectiveness of an Artificial Neural Network was examined topredict the Colorado River discharge. In this modeling process, an ANN modelwas used to relate the discharge of the Colorado River to such parameters asthe amount of precipitation, ambient temperature and snowpack level at aspecific time of the year. The model was able to precisely study the impact ofclimatic parameters on the flow rate of the Colorado River.

Forecasting the Colorado River Discharge Using an Artificial Neural Network (ANN) Approach