In neural network the connection strength of each neuron is updated through learning. Through repeated simulations of crisp neural network, we propose the idea that for each neuron in the network, we can obtain reduced model with more efficiency using wavelet based multiresolution analysis (MRA) to form wavelet based quasi fuzzy weight sets (WBQFWS). Such type of WBQFWS provides good initial so...

This paper is concerned with the data mining application to business process automation. A short tutorial on stages of financial analysis of an enterprise is given. A brief description of data mining components for financial analysis of an enterprise is presented in the paper. The main element of data mining application is fuzzy neural system. The structure of fuzzy neural system includes lingu...

A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFNN) is constructed in terms of Takagi-Sugeno fuzzy model. The consequent part is comprised of the dynamic neurons with output feedback. The number and the parameters of membership functions in the premise part are optimi...

This paper presents an application of fuzzy and neural network techniques to a vision-guided closed loop control for stationary luminous ames. The image processing technique is used to analyze and identify the process states. Fuzzy control strategy avoids the di culty in establishing a mathematical model for an ill-de ned process. Expert knowledge and training patterns can be incorporated into ...

Classification and detection of network based intrusion is very critical task. The processing of classification and detection faced a problem of large number of attribute and mixed category of data. Day to day increases diversity of attacker and hacker generates new pattern of file for attack purpose, the process of classification and detection suffered due to this reason. The process of classi...

The change of land use/land cover has been known as an imperative force in environmental alteration, especially in arid and semi-arid areas. This research was mainly aimed to assess the validity of two major types of land change modeling techniques via a three dimensional approach in Birjand urban watershed located in an arid climatic region of Iran. Thus, a Markovian approach based on two suit...

A fuzzy cognitive map is a graphical means of representing arbitrarily complex models of interrelations between concepts. The purpose of this paper is to describe a fuzzy cognitive map based on the random neural network model called the random fuzzy cognitive map, and to illustrate its application in the modeling of process. This model is based on the probability of activation of the neurons/co...

Based on the works [11], [22] a fuzzy time series model is proposed and applied to predict chaotic financial process. The general methodological framework of classical and fuzzy modelling of economic time series is considered. A complete fuzzy time series modelling approach is proposed. To generate fuzzy rules from data, the neural network with Supervised Competitive Learning (SCL)-based produc...

Economic growth in developing countries has resulted in increasing demand for infrastructure projects like power plants. To meet these development needs, the government of Iran has engaged companies to carry out power plant projects. While many papers have been written on the subject of project risk management, little information exists on the actual use of risk management in practice. The prim...