In this paper, we introduce a Takagi-Sugeno (TS) fuzzy model which is derived from a typical Multi-Layer Perceptron Neural Network (MLP NN). At first, it is shown that the considered MLP NN can be interpreted as a variety of TS fuzzy model. It is discussed that the utilized Membership Function (MF) in such TS fuzzy model, despite its flexible structure, has some major restrictions. After modify...

this study aims at investigating the effect of using cooperative learning (jigsaw2) and traditional learning on the reading comprehension achievement. in the present study, experimental research model consisting of pre-test, post-test with a control group was applied. the sample of the study consisted of 64 participants in grade three in bonab high schools. to determine the effect of cooperativ...

background: nowadays hospitals have to cope with global changes. they are thus forced to be equipped with learning and learning hospitals. this research was performed to design a model for establishing learning organization in iranian public hospitals. methods: this qualitative, comparative, cross-sectional study was conducted in 2009-2010. first, available models of learning organization in ge...

Alliance raises many knowledge transfer and interfirm learning issues that have implications for how the alliance partners manage their cooperative learning activities in the alliance system. Many of these implications are grounded in the assumption that partners in the alliances have routines for transferring knowledge, learning, gaining management efficiencies. Thus organisations can support ...

this paper proposes an efficient tracking method for velocity control of an electro-hydraulic servo system (ehss) in the presence of flow nonlinearities and internal friction. the tracking method controller is a kind of feedback error learning structure. in the proposed method, the feedback error learning (fel) algorithm is used to control the velocity. there is no need to compute the system ja...

A new iterative learning controller is proposed for a general unknown discrete time-varying nonlinear non-affine system represented by NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model. The proposed controller is composed of an iterative learning neural identifier and an iterative learning controller. Iterative learning control and iterative learning identification ar...