A total of 1099 data points consisting of alcohol-alcohol, alcohol-alkane, alkane-alkane, alcohol-amine and acid-acid binary solutions were collected from scientific literature to develop an appropriate artificial neural network (ANN) model. Temperature, molecular weight of the pure components, mole fraction of one component and the structural groups of the components were used as input paramet...

this study presents the effects of project uncertainties on nonlinear time-cost tradeoff (tct) profile of real life engineering projects by the fusion of fuzzy logic and artificial neural network (ann) models with hybrid meta-heuristic (hmh) technique, abridged as fuzzy-ann-hmh. nonlinear time-cost relationship of project activities is dealt with ann models. ann models are then integrated with ...

Artificial neural networks (ANN) have shown to be a powerful tool for system modeling in a wide range of applications. The focus of this study is on neural network applications to data analysis in egg production. An ANN model with two hidden layers, trained with a back propagation algorithm, successfully learned the relationship between the input (age of hen) and output (egg production) variabl...

kashan aquifer is adjacent to salt lake. because of this adjacency, the saline water of the lake has moved to the aquifer. in this study groundwater quality of the aquifer was simulated using artificial neural network (ann) model. for this purpose, the dominant ion of water was first determined by piper diagram. results showed that the sodium chloride is the dominant ion of water and so it was ...

1 Department of Human Genetics, University of Michigan, Ann Arbor, MI, United States, 2 Diagnostic Laboratory, Greenwood Genetic Center, Greenwood, SC, United States, 3 Molecular & Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, United States, 4 Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States, 5 Department o...

a LimnoTech, 501 Avis Drive, Ann Arbor, MI 48108, USA b School of Natural Resources and Environment, University of Michigan, 440 Church Street, Ann Arbor, MI 48109, USA c Cooperative Institute for Limnology and Ecosystem Research, 440 Church Street, Ann Arbor, MI 48109, USA d NOAA Great Lakes Environmental Research Laboratory, 4840 S. State Rd., Ann Arbor, MI 48108, USA e Graham Environmental S...

estimate of sediment load is required in a wide spectrum of water resources engineering problems. the nonlinear nature of suspended sediment load series necessitates the utilization of nonlinear methods to simulate the suspended sediment load. in this study artificial neural networks (anns) are employed to estimate daily suspended sediment load. two different ann algorithms, multi layer percept...

background: forecasting of air pollutants has become a popular topic of environmental research today. for this purpose, the artificial neural network (aan) technique is widely used as a reliable method for forecasting air pollutants in urban areas. on the other hand, the evolutionary polynomial regression (epr) model has recently been used as a forecasting tool in some environmental issues. in ...

in this study, an intelligent system for sorting closed shell and open shell pistachio nuts, was designed and developed based on combined acoustic and artificial neural network (ann) techniques. the system included a microphone, pc, material handling equipment and an air reject pneumatic mechanism. the microphone, placed under the steel plate, received sound signals generated by the pistachio n...