Rivers are dynamic geological agents on the earth which transport weathered materials of continent to sea. Estimation suspended sediment yield (SSY) is essential for management, planning, and designing in any river basin system. SSY critical due its complex nonlinear processes, not captured by conventional regression methods. Rainfall, temperature, water discharge, SSY, rock type, relief, catch...

Real-world traffic situations, including smart monitoring, automated parking systems, and car services are increasingly using vehicle license detection systems (VLDS). Vehicle plate identification is still a challenge with current approaches, particularly in more complicated settings. The use of machine learning deep algorithms, which display improved classification accuracy resilience, has bee...

In this paper, a novel MIMO Neural NARX model is used for simultaneously modeling and identifying both joints of the 2-axes PAM robot arm’s inverse and forward dynamic model. The highly nonlinear cross effect of both links of the 2-axes PAM robot arm are thoroughly modeled through an Inverse and Forward Neural MIMO NARX Model-based identification process using experimental input-output training...

Mutual information neuro-evolutionary system (MINES) presents a novel self-governing approach to determine the optimal quantity and connectivity of the hidden layer of a three layer feed-forward neural network founded on theoretical and practical basis. The system is a combination of a feed-forward neural network, back-propagation algorithm, genetic algorithm, mutual information and clustering....

Diabetes Mellitus is a chronic, lifelong metabolism disorder that affects the ability of the body system to use the energy found in food. People living with high blood sugar will experience polyuria (frequent urination), which will make them to become increasingly thirsty (polydipsia) and hungry (polyphagia) .The improper management of this disease can lead to complication such as cardiovascula...

In this project we present the concept of effective classification for background subtracted videos by using learning classifier-feed forward neural network with back propagation to conquer the open problem in the context of the complex scenarios.eg:while picturing the videos in some application like cloudy (or) misty areas the object in video will be less clarity with naked eye even after the ...

the effects of different climatic, soil, geometric, and management factors on soil organic carbon (soc) degradation and sequestration potential was evaluated in the semi-arid zone of mereg watershed, west of iran. two nonparametric methods, viz. classification and regression tree (cart) and feed forward back propagation artificial neural network (ann) were compared with parametric multivariate ...

there is little consensus on the corporate diversification-efficiency relationship in the diversification literature. according to the corporate diversification, firms have a tendency to get more market share with diversifying in the local segment or in the international market. theoretically, a contradictory exists between the profitable strategy and the value reducing strategy in the diversif...

life style and life expectancy of inhabitants have been affected by the increase of particulate matter 10 micrometers or less in diameter (pm10) in cities and this is why maximum pm10 concentrations have received extensive attention. an early notice system for pm10 concentrations necessitates an accurate forecasting of the pollutant. in the current study an artificial neural network was used t...