A Proposal for Energy-Efficient Cellular Neural Network Based on Spintronic Devices
نویسندگان
چکیده
منابع مشابه
Energy-Efficient Network Memory for Ubiquitous Devices
This paper explores the energy and delay issues that occur when some or all of the local storage is moved out of the embedded device, and into a remote network server. We demonstrate using the network to access remote storage in lieu of local DRAM results in significant power savings. Mobile applications continually demand additional memory, with traditional designs increasing DRAM to address t...
متن کاملHybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems
Over the past decade Spiking Neural Networks (SNN) have emerged as one of the popular architectures to emulate the brain. In SNN, information is temporally encoded and communication between neurons is accomplished by means of spikes. In such networks, spike-timing dependent plasticity mechanisms require the online programming of synapses based on the temporal information of spikes transmitted b...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملA conjugate gradient based method for Decision Neural Network training
Decision Neural Network is a new approach for solving multi-objective decision-making problems based on artificial neural networks. Using inaccurate evaluation data, network training has improved and the number of educational data sets has decreased. The available training method is based on the gradient decent method (BP). One of its limitations is related to its convergence speed. Therefore,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Nanotechnology
سال: 2016
ISSN: 1536-125X,1941-0085
DOI: 10.1109/tnano.2016.2598147