This paper presents the development of recurrent neural network based fuzzy inference system for identification and control of dynamic nonlinear plant. The structure and algorithms of fuzzy system based on recurrent neural network are described. To train unknown parameters of the system the supervised learning algorithm is used. As a result of learning, the rules of neuro-fuzzy system are forme...

This study investigated the prediction of suspended sediment load in a gauging station in the USA by neuro-fuzzy, conjunction of wavelet analysis and neuro-fuzzy as well as conventional sediment rating curve models. In the proposed wavelet analysis and neuro-fuzzy model, observed time series of river discharge and suspended sediment load were decomposed at different scales by wavelet analysis. ...

Abstract Introduction Medical workflow is defined as task, process and medical staff working together in a specialized multidisciplinary team to deliver proper healthcare achieve patient satisfaction with good experience such neuro-oncology centers which deal central nervous system tumors. The aim of this article review center focusing on how maintain the best health care outcome. Main body An ...

Molecular Reproduction, Development and Genetics department, Indian Institute of Science, Bangalore, India (S.S.P., P.G., M.B., P.K.); Department of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bangalore, India (S.D.S., J.J., V.S.); Clinical Neurosciences, National Institute of Mental Health and Neuro Sciences, Bangalore, India (A.H.S.); Neurosurgery, National Institu...

We address the prediction of the gene structure using a new method and tools, involving the sequence of distances between bases and neuro-fuzzy predictors. The method is tested on the HIV virus genome and the results look promising compared to other methods. We suggest that new, global prediction methods based on implicit, not explicit knowledge, may be as strong as the current, largely explici...