Background and Objectives: Rheological characteristics of dough are important for achieving useful information about raw-material quality, dough behavior during mechanical handling, and textural characteristics of products. Our purpose in the present research is to apply soft computation tools for predicting the rheological properties of dough out of simple measurable factors. Materials and Me...

*Corresponding author, Email: [email protected] Tel./Fax: +9198 3073 6116 ABSTRACT: Present paper endeavors to develop predictive artificial neural network model for forecasting the mean monthly total ozone concentration over Arosa, Switzerland. Single hidden layer neural network models with variable number of nodes have been developed and their performances have been evaluated using the...

In this paper, we propose a hybrid learning algorithm for the single hidden layer feedforward neural networks (SLFNs) for data classification. The proposed hybrid algorithm is a two-phase learning algorithm and is based on the quasisecant and the simulated annealing methods. First, the weights between the hidden layer and the output layer nodes (output layer weights) are adjusted by the quasise...

Randomized weights neural networks have fast learning speed and good generalization performances with one single hidden layer structure. Input weighs of the hidden layer are produced randomly. By employing certain activation functions, outputs of the hidden layers are calculated with some randomization. Output weights are computed using pseudoinverse. Mutual information can be used to measure m...

The artificial neural networks, the learning algorithms and mathematical models mimicking the information processing ability of human brain can be used non-linear and complex data. The aim of this study was to predict the breeding values for milk production trait in Iranian Holstein cows applying artificial neural networks. Data on 35167 Iranian Holstein cows recorded between 1998 to 2009 were ...

introduction agriculture still constitutes the backbone of the rural economy and is an engine of rural household income growth in developing countries. according to the evidence, agriculture sector has an important role also in rural economy in islamic republic of iran. thus, in order to promote rural economy, rural development programs and policies have been focused on agricultural investments...

global positioning system (gps) signals provide valuable information about ionosphere physical structure. using these signals, can be derived total electron content (tec) for each line of sight between the receiver and the satellite. for historic and other sparse data sets, the reconstruction of tec images is often performed using multivariate interpolation techniques. recently it has become cl...

Our last model that uses unsupervised learning is again a general learning machine invented by Geoffrey Hinton and Terrance Sejnowski in the mid 1980 called Boltzmann machine. This machine is a general form of a recurrent neural network with visible nodes that receive input or provide output, and hidden notes that are not connected to the outside world directly. Such a stochastic dynamic networ...

Production of several yeast products occur in presence of mixtures of monosaccharides. To study effect of xylose and glucose mixtures with system aeration and nitrogen source as the other two operative variables on xylitol production by Pichia guilliermondii, the present work was defined. Artificial Neural Network (ANN) strategy was used to athematically show interplay between these three c...