Predicting the behavior of customers plays a crucial role in the quality of resource management and customer services. In this article, a fuzzy neural network model for predicting the customer storage usage is identified. The identified fuzzy neural network is improved and finally the result of...

This paper has been designed a stock trading systems using Artificial Nero Fuzzy Inference Systems (ANFIS) and technical analysis approach. The proposed model receives 14 last days information and predictes 14 next day's variables' values Simple Moving Average (SMA), Exponential Moving Average...

In this paper, lag synchronization for a class of delayed fuzzy cellular networks is investigated. By utilizing inequality technique, Lyapunov functional theory and the analysis method, some new and useful criteria of lag synchronization for the addressed networks are derived in terms of p-norm...