Auto-associative memory based on a new hybrid model of SFNN and GRNN: Performance comparison with NDRAM, ART2 and MLP

2008 ◽  
Author(s):  
Hamed Davande ◽  
Mahmood Amiri ◽  
Alireza Sadeghian ◽  
Sylvain Chartier
Keyword(s):  
Hybrid Model ◽  
Associative Memory ◽  
Performance Comparison

IABP Timing and Ventricular Performance - Comparison between a Compliant and a Stiffer Aorta: A Hybrid Model Study Including Baroreflex

2013 ◽  
Vol 36 (11) ◽  
pp. 749-757 ◽  
Author(s):  
Libera Fresiello ◽  
Ashraf W. Khir ◽  
Arianna Di Molfetta ◽  
Maciej Kozarski ◽  
Gianfranco Ferrari
Keyword(s):  
Hybrid Model ◽  
Performance Comparison ◽  
Ventricular Performance ◽  
Model Study

Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networks

2010 ◽  
Vol 23 (7) ◽  
pp. 892-904 ◽  
Author(s):  
Mahmood Amiri ◽  
Hamed Davande ◽  
Alireza Sadeghian ◽  
Sylvain Chartier
Keyword(s):  
Neural Networks ◽  
Hybrid Model ◽  
Associative Memory ◽  
Generalized Regression ◽  
Feedback Neural Networks

scholarly journals Performance comparison of java based parallel programming models

2019 ◽  
Vol 16 (3) ◽  
pp. 1577
Author(s):  
Muhammad Na’im Fikri Jamaluddin ◽  
Azlan Ismail ◽  
Amir Abd Rashid ◽  
Talha Takleh Omar Takleh
Keyword(s):  
Parallel Programming ◽  
Hybrid Model ◽  
Language Processing ◽  
Message Passing ◽  
Performance Comparison ◽  
Programming Models ◽  
C Language ◽  
Software Application ◽  
Distributed Models ◽  
Parallel Programming Models

<span lang="EN-MY">Parallel programming has been implemented in many areas to solve various computational problem with the aim, to improve the performance and scalability of the software application. There are a few parallel programming models commonly used, namely, threads, and message passing (distributed) models. Furthermore, various APIs have been proposed to implement these models based on two popular languages, notably, C/C++ and Java. A few studies have been done to compare the performance of parallel programming models, specifically, pure versus hybrid model. However, most of existing comparisons targeted on MPI/OpenMP based on C/C++ language. In this paper, our aim is to explore the performance comparison between threads, message passing and hybrid model in Java, specifically using Java multithreading and MPJ Express. For this reason, we have chosen a problem called word count occurrence which is significant in Natural Language Processing and use it to design and implement the parallel programs. We then present their performance and discuss the results.</span>

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