Because of the existing interactions among the variables of a multiple input-multiple output (MIMO) nonlinear system, its identification is a difficult task, particularly in the presence of uncertainties. Cement rotary kiln (CRK) is a MIMO nonlinear system in the cement factory with a complicated mechanism and uncertain disturbances. The identification of CRK is very important for different pur...

Handwritten character recognition is one of the focused areas of research in the field of Pattern Recognition. In this paper, a hybrid model of rough neural network has been developed for recognizing isolated Arabic/Farsi digital characters. It solves the neural network problems; proneness to overfitting, and the empirical nature of model development using rough sets and the dissimilarity analy...

For the shortage of the traditional evaluation methods of the urban economy, A new evaluation model proposed, establishing an index system of evaluation and decision table on city economy, and extracting important properties of input data from Rough Set and neural network, and evaluation indexes reduced as input of neural network to realize the city's economic strength evaluation , then, using ...

This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron constructs upper and lower approximations as an aid to classifying inputs. Rough neuron output has various forms. In this paper, rough neuron output results from the appl...

In view of large amount of monitoring data for Pearl disease, complexity of network structure of the traditional diagnostic neural network method, validity of disease data issues and slow training, this paper introduces the rough set theory to intelligent Pearl disease diagnosis. A method for disease diagnostics is proposed based on rough set neural network. The rough set is used to remove the ...

The rough neural networks (RNNs) are the neural networks based on rough set and one kind of hot research in the artificial intelligence in recent years, which synthesize the advantage of rough set to process uncertainly question: attributes reduce by none information losing then extract rule, and the neural networks have the strongly fault tolerance, self-organization, massively parallel proces...

This paper first reviewed the relevant theories of neural network, rough sets and support vector machine (SVM). All of them have great advantages on dealing with various imprecise and incomeplete data. However, there exists essential difference among them. Except for neural network, rough sets and support vector machine are seldom used in the field of remote sensing image classification. How to...