in this study, using sound created by wheat grain passing through a pipe, wheat flow rate was measured. the developed device consists of a hopper, metering device, sound sensor, delivery tube, dc motor and power supply. several wheat mass flow rates were tested and the sound signal created by the passage of the grain through the discharge tube was measured and transferred to a computer using da...

The aim of this study is to evaluate the ability soft computing models including multilayer perceptron- (MLP-) water wave optimization (MLP-WWO), MLP-particle swarm (MLP-PSO), and MLP-genetic algorithm (MLP-GA), simulate daily monthly reference evapotranspiration (ET) at Aidoghmoush basin (Iran). Principal component analysis (PCA) was used find best input combination lagged ETs. According resul...

In case of decision making problems, identification nonlinear systems is an important issue. Identification using a multilayer perceptron (MLP) trained with back propagation becomes much complex increase in number input data, layers, nodes, and iterations computation. this paper, attempt has been made to use fuzzy MLP its learning algorithm for system. The training which allows accelerate proce...

With the advancement in pose estimation techniques, human posture detection recently received considerable attention many applications, including ergonomics and healthcare. When using neural network models, overfitting poor performance are prevalent issues. Recently, convolutional networks (CNNs) were successfully used for recognition from images due to their superior multiscale high-level visu...

The objective of this study is to develop artificial neural network (ANN) models, including multilayer perceptron (MLP) and Kohonen self-organizing feature map (KSOFM), for spatial disaggregation of areal rainfall in the Wi-stream catchment, an International Hydrological Program (IHP) representative catchment, in South Korea. A three-layer MLP model, using three training algorithms, was used to...

Dr. David Shahian Lahey Clinic Burlington, MA 01805 Experiments demonstrated that sigmoid multilayer perceptron (MLP) networks provide slightly better risk prediction than conventional logistic regression when used to predict the risk of death, stroke, and renal failure on 1257 patients who underwent coronary artery bypass operations at the Lahey Clinic. MLP networks with no hidden layer and ne...

Abstract Flood forecasting is a critical component of flood early warning. The discharge that occurs one the parameters can be used as reference for predicting flooding. Various models based on physically or data-driven have been developed. One methods considered watersheds with limited physical data Artificial Neural Network (ANN). Furthermore, ANN method allows analysis process to completed i...

In a conventional authentication process, every one may have a signature prototype that plays the role of valid benchmark. To recognize the online signature patterns, we proposed a dynamic recognition system based on a novel signature-based normalized features string (SNFS) as extracted features, and a multilayer perceptron (MLP) neural network as the classifier. We showed that the proposed SNF...