文章基本信息

标题：Robust controller Design by Multi-Objective Optimization with H2/H∞/μ combination
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作者：Javad Mashayekhi Fard
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：1
页码：586-593
语种：English
出版社：Ayushmaan Technologies
摘要：Schizophrenia is a complex mental disorder. So Identification of Schizophrenic is very important in quantitative biological research. In this paper, I proposed a method of classification of schizophrenia and healthy controls, using a neural network and ICA. A reliable technique for discriminating schizophrenia based upon Functional Magnetic Resonance Imaging (fMRI) would be a significant advance. fMRI technology enables medical doctors to observe brain activity patterns that represent the execution of subject tasks, both physical and mental. The scans were acquired on 1.5T Siemens scanner. The data was preprocessed Using SPM and then ICA is applied to fMRI data, that has been fruitful in grouping the data into meaningful spatially independent components. Work discussed in this paper specifically focuses on fMRI data collected from both healthy controls and patients diagnosed with schizophrenia. The neural networks are trained using the back propagation algorithm, in which the error signals are propagated backward through the network. In a three layer neural network the weights are updated. The output of neural network will be ‘yes’ or ‘no’ i.e. patient is schizophrenic or not. This is how I classify schizophrenic and healthy controls and got better results.
关键词：H2/H∞/µ Robust Controller;LMI;Multi-Objective Control; optimization.