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目前显示的是标签为“Neural Network”的博文

Possible roles of electrical synapse in temporal information processing: A computational study

Read  full  paper  at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=11#.VNMu4CzQrzE Author(s)  Xu-Long Wang , Xiao-Dong Jiang , Pei-Ji Liang Affiliation(s) Department of Biomedical Engineering, Shanghai Jiao Tong University . Department of Biomedical Engineering, Shanghai Jiao Tong University . Department of Biomedical Engineering, Shanghai Jiao Tong University . ABSTRACT Temporal information processing in the range of tens to hundreds of milliseconds is critical in many forms of sensory and motor tasks. However, little has been known about the neural mechanisms of temporal information processing. Experimental observations indicate that sensory neurons of the nervous system do not show selective response to temporal properties of external stimuli. On the other hand, temporal selective neurons in the cortex have been reported in many species. Thus, processes which realize the temporal-to-spatial transformation of neuronal act...

Using Neural Networks for Simulating and Predicting Core-End Temperatures in Electrical Generators: Power Uprate Application

Read  full  paper  at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53751#.VNHLrCzQrzE Author(s)   Carlos J. Gavilán Moreno Affiliation(s) Cofrentes Nuclear Power Plant, Iberdrola Generación Nuclear, Valencia, Spain . ABSTRACT Power uprates pose a threat to electrical generators due to possible parasite effects that can develop potential failure sources with catastrophic consequences in most cases. In that sense, it is important to pay close attention to overheating, which results from excessive system losses and cooling system inefficiency. The end region of a stator is the most sensitive part to overheating. The calculation of magnetic fields, the evaluation of eddy-current losses and the determination of loss-derived temperature increases, are challenging problems requiring the use of simulation methods. The most usual methodology is the finite element method, or linear regression. In order to address this methodol...

Neural Network Based on SET Inverter Structures: Neuro-Inspired Memory

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52378#.VJOIVcCAM4 Author(s) Bilel Hafsi 1,2* , Rabii Elmissaoui 3 , Adel Kalboussi 1 Affiliation(s) 1 IEMN Laboratory, University of Lille1, Avenue Poincaré, 59652 Villeneuve d’Ascq Cedex, France . 2 Microelectronics and Instrumentation Laboratory, Faculty of Sciences of Monastir, University of Monastir, Monastir, Tunisia . 3 Research Unit on Study of Industrial Systems and Renewable Energies, National Engineering School of Monastir, Monastir, Tunisia . ABSTRACT This paper presents a basic block for building large-scale single-electron neural networks. This macro block is completely composed of SET inverter circuits. We present and...

A Study on Autotuning Controller for Servo System

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=48455#.VD4UHlfHRK0 Author(s) Nguyen Hoang Giap , Jin-Ho Shin , Won-Ho Kim Affiliation(s) Department of Intelligent System Engineering, Graduate School of Dong-eui University, Busan, Korea . Department of Mechatronics Engineering, Dong-eui University, Busan, Korea . Department of Mechatronics Engineering, Dong-eui University, Busan, Korea . ABSTRACT This paper introduces a PID Autotuning controller using intelligent neural network control based on relay feedback approach. The proposed controller takes advantage of offline learning, in which the initial knowledge of control system is recognized by the relay feedback approach, and the online learning capability of neu...