Classification of Neural Network Hardaware

Date

1996-01-01

Author

Aybay, Hadi Işık
Cetınkaya, Semıh
Halıcı, Uğur

Metadata

Show full item record

Item Usage Stats

171
views

0
downloads

There is a need for studies to classify Neural Network hardware according to some generally accepted criteria to make it easier to understand the basic properties of newly proposed architecture of neurochips. This paper aims at putting forward a new proposal for the classification of Neural Network hardware. For this purpose, first the basic components and architecture of a neurochip are described. Then attributes are selected and outlined for the classification, and possible values they may take are discussed. A number of well-known Neural Network chips are then classified using the suggested method.

URI

https://hdl.handle.net/11511/83686
https://www.researchgate.net/profile/Isik_Aybay/publication/2470727_Classification_Of_Neural_Network_Hardware/links/561b8e8b08ae78721fa0e9b7.pdf

Journal

Neural Network World

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

Classification of neural network hardware Aybay, Isik; Cetinkaya, Semih; Halıcı, Uğur (1996-01-01) There is a need for studies to classify Neural Network hardware according to some generally accepted criteria to make it easier to understand the basic properties of newly proposed neurochips. This paper aims at putting forward a new proposal for the classification of Neural Network hardware. For this purpose, first the basic components and architecture of a neurochip are described. Then attributes are selected and outlined for the classification, and possible values they may take are discussed. A number of...
Characterization of fracture processes by continuum and discrete modelling KALISKE, M.; Dal, Hüsnü; FLEISCHHAUER, R.; JENKEL, C.; NETZKER, C. (Springer Science and Business Media LLC, 2012-09-01) A large number of methods to describe fracture mechanical features of structures on basis of computational algorithms have been developed in the past due to the importance of the topic. In this paper, current and promising numerical approaches for the characterization of fracture processes are presented. A fracture phenomenon can either be depicted by a continuum formulation or a discrete notch. Thus, starting point of the description is a micromechanically motivated formulation for the development of a loc...
Classification in Frequency Domain of EEG Signals of Motor Imagery for Brain Computer Interfaces Halıcı, Uğur (2009-05-22) In this study the classification of the EEG signals recorded during motor imagery for curser movement in brain computer interfaces is examined, in which the feature vectors obtained in frequency domain is used and then the linear transformations are applied for reducing the size of the feature vectors.
A practical analysis of sample complexity for structure learning of discrete dynamic Bayesian networks Geduk, Salih; Ulusoy, İlkay (2021-02-01) Discrete Dynamic Bayesian Network (dDBN) is used in many challenging causal modelling applications, such as human brain connectivity, due to its multivariate, non-deterministic, and nonlinear capability. Since there is not a ground truth for brain connectivity, the resulting model cannot be evaluated quantitatively. However, we should at least make sure that the best structure results for the used modelling approach and the data. Later, this result can be appreciated by further correlated literature of anat...
Analysis Pattern of Sanliurfa Harran Plain in UML and its Implementation in Geodatabase Çubuk, Ulaş; Usul, Nurünnisa; Department of Geodetic and Geographical Information Technologies (2004) An emerging trend in GIS is the adoption of object oriented concepts for both logical and physical design phases. Extensive research has been conducted on logical design of GIS and several conceptual models have been proposed. Classical data models like the relational data model have proven to be insufficient for the conceptual modeling of spatial data. Therefore among other object oriented modeling tools, a new modeling language, Unified Modeling Language (UML) has also become a popular modeling tool in th...

Citation Formats

H. I. Aybay, S. Cetınkaya, and U. Halıcı, “Classification of Neural Network Hardaware,” Neural Network World, pp. 11–27, 1996, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/83686.