Page 3 - Artificial Neural Networks Anns News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Artificial neural networks anns. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Artificial Neural Networks Anns Today - Breaking & Trending Today

Enhancing Maritime SATCOM Security: Orbit Integrates NetShroud+ Cyber Solution into OceanTRx MIL Systems -Today at 11:06 am

Enhancing Maritime SATCOM Security: Orbit Integrates NetShroud+ Cyber Solution into OceanTRx MIL Systems

The integrated terminals will operate. ....

Tel Aviv , Ku Ka , Dany Eshchar , Orbit Communication Systems Ltd , Investment Fund , Orbit Communications Systems , Artificial Neural Networks Anns , Tel Aviv Stock Exchange , London September , Communications Systems , Artificial Neural Networks , Artificial Intelligence , White Box Cryptography , Blacklist Filtering , Zero Trust Micro Segmentation , Orbit Communications , Communication Systems Ltd , New Space ,

Orbit launches the advanced NetShroud+ solution – SatNews

Orbit launches the advanced NetShroud+ solution – SatNews
satnews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from satnews.com Daily Mail and Mail on Sunday newspapers.

Artificial Neural Networks Anns , Orbit Communications Systems Inc , Orbit Communications Systems , White Box Cryptography , Black List Filtering , Zero Trust Micro Segmentation , Artificial Neural Networks , Artificial Intelligence ,

"Slope stability prediction using the Artificial Neural Network (ANN)" by Al Muhalab Al-Dughaishi, Shivakumar Karekal et al.

Slope failure is a significant risk in both civil and mining operations. This failure phenomenon is more likely to occur during the high rainfall season, areas with a high probability of seismic activity and in cold countries due to freezing-thawing. Further, a poor understanding of hydrogeology and geotechnical factors can contribute to erroneous engineering designs. Several Limit Equilibrium Methods (LEMs) and numerical modelling tools have been developed over the years. However, the highlighted success of the Artificial Neural Networks (ANNs) in other disciplines/sectors has motivated researchers to implement ANNs to forecast the Factor Of Safety (FOS). This paper aims to develop ANNs to predict the value of the FOS for slopes formed by (i) uniform one soil/rock material and (ii) formed by two soil/rock materials. Each of these slopes contains three sub-models with 6, 7 and 8 input material parameters. Thousands of FOS values were generated for each sub-model using LEMs by randomly ....

Artificial Neural Networks Anns , Limit Equilibrium Methods , Artificial Neural Networks , Factor Of Safety , Mean Square Error ,

"Slope stability prediction using the Artificial Neural Network (ANN)" by Al Muhalab Al-Dughaishi, Shivakumar Karekal et al.

Slope failure is a significant risk in both civil and mining operations. This failure phenomenon is more likely to occur during the high rainfall season, areas with a high probability of seismic activity and in cold countries due to freezing-thawing. Further, a poor understanding of hydrogeology and geotechnical factors can contribute to erroneous engineering designs. Several Limit Equilibrium Methods (LEMs) and numerical modelling tools have been developed over the years. However, the highlighted success of the Artificial Neural Networks (ANNs) in other disciplines/sectors has motivated researchers to implement ANNs to forecast the Factor Of Safety (FOS). This paper aims to develop ANNs to predict the value of the FOS for slopes formed by (i) uniform one soil/rock material and (ii) formed by two soil/rock materials. Each of these slopes contains three sub-models with 6, 7 and 8 input material parameters. Thousands of FOS values were generated for each sub-model using LEMs by rando ....

Artificial Neural Networks Anns , Limit Equilibrium Methods , Artificial Neural Networks , Factor Of Safety , Mean Square Error ,

"Pumps-as-Turbines' (PaTs) performance prediction improvement using evo" by Akbar Telikani, Mosé Rossi et al.

Energy production from clean sources is mandatory to reduce pollutant emissions. Among different options for hidden hydropower potential exploitation, Pump-as-Turbine (PaT) represents a viable solution in pico- and micro-hydropower applications for its flexibility and low-cost. Pumps are widely available in the global market in terms of both sizes and spare parts. To date, there are several PaTs’ performance prediction models in the literature, but very few of them use optimization algorithms and only for specific and limited prediction goals. The present work proposes evolutionary Artificial Neural Networks (ANNs) based on JADE, which is a typology of differential evolution algorithm, to forecast Best Efficiency Point (BEP) and performance curves of a PaT starting from the pump operational data. In this model, JADE is employed as optimizer of basic ANNs to upgrade parameter values of the learning rate, weights, and biases. The accuracy of the proposed model is evaluated through expe ....

Artificial Neural Networks Anns , Artificial Neural Networks , Best Efficiency Point , Adaptive Differential Evolution , Artificial Neural Network , Evolutionary Algorithms , Idden Hydropower , Performance Forecast , Umps As Turbines ,