Data Clustering using Memristor Networks

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Data Clustering using Memristor Networks

Memristors have emerged as a promising candidate for critical applications such as non-volatile memory as well as non-Von Neumann computing architectures based on neuromorphic and machine learning systems. In this study, we demonstrate that memristors can be used to perform principal component analysis (PCA), an important technique for machine learning and data feature learning. The conductance...

متن کامل

Clustering Gene Expression Data using Neural Networks

Microarray technology can be used to collect gene expression data in bulk. In order to be able to deal with this large amount of data that can now be produced, an efficient method of computing the relationships of this data must be constructed. Some attempts at applying neural networks have been employed for this task. For this project we intend to implement several neural network architectures...

متن کامل

Data Clustering Using ART-like Neural Networks

This paper is focused on the data clustering using the ART-like neural network. Firstly is concerned with the problems from the theoretical point of view by explaining what the clustering is, giving an idea of accumulation methods and mentioning the place of the neural networks in the data clustering. From among the neural network it is focused on the MF ARTMAP. Firstly it explains the principl...

متن کامل

Memristor-based neural networks

The synapse is a crucial element in biological neural networks, but a simple electronic equivalent has been absent. This complicates the development of hardware that imitates biological architectures in the nervous system. Now, the recent progress in the experimental realization of memristive devices has renewed interest in artificial neural networks. The resistance of a memristive system depen...

متن کامل

Solving Data Clustering Problems using Chaos Embedded Cat Swarm Optimization

In this paper, a new method is proposed for solving the data clustering problem using Cat Swarm Optimization (CSO) algorithm based on chaotic behavior. The problem of data clustering is an important section in the field of the data mining, which has always been noted by researchers and experts in data mining for its numerous applications in solving real-world problems. The CSO algorithm is one ...

متن کامل

ذخیره 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: Scientific Reports

سال: 2015

ISSN: 2045-2322

DOI: 10.1038/srep10492