2015 Tenth International Conference on Computer Engineering & Systems (ICCES)最新文献

Comparison of different backpropagation training algorithms using robust M-estimators performance functions 使用稳健m估计器性能函数的不同反向传播训练算法的比较

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393080

Ali R. Abd Ellah, M. Essai, A. Yahya

{"title":"Comparison of different backpropagation training algorithms using robust M-estimators performance functions","authors":"Ali R. Abd Ellah, M. Essai, A. Yahya","doi":"10.1109/ICCES.2015.7393080","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393080","url":null,"abstract":"Artificial neural networks are one of the most popular and promising areas of artificial intelligence research. Training data containing outliers are often a problem for supervised neural networks learning algorithms that may not always come up with acceptable performance. Many robust learning algorithms have been proposed so far to improve the performance of neural networks in the presence of outliers. In this paper, we investigate the performance of four different backpropagation training algorithms, which are conjugate gradient with Fletcher - Reeves updates, conjugate gradient with Polak - Ribiére updates, resilient backpropagation, and conjugate gradient with Powell - peal restart. We compare their performance in terms of Root Mean Square Error as a merit function and the training speed in seconds. Examined neural networks trained by aforementioned backpropagation learning algorithms, which used the robust M-estimators performance functions instead of MSE one, in order to get robust learning in the presence of outliers. The study results show that Traincgf is the best algorithm in terms of mean square error, while the Traincgp is the best in terms of training speed.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"71 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124284298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

A new approach for interfacing SystemC-AMS models with hardware-emulated platforms SystemC-AMS模型与硬件仿真平台接口的新方法

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393025

H. Tawfik, M. Safar, Mohamed Abdelsalam, M. El-Kharashi, A. Salem

引用次数: 0

Optical flow-based enhancement of spatio-temporal detection in videos 基于光流的视频时空检测增强

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393079

Rana O. Elnaggar, M. Khalil, H. Abdelmunim, Hazem M. Abbas

引用次数: 0

Constructing fuzzy ontology for cardiac arrhythmias 心律失常模糊本体的构建

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393084

Heba Fouda, Mohammed M Elmogy, Ahmed Aboelfetoh, Abdel Raziq Maat

引用次数: 4

ASIC design in Residue Number System for calculating minimum sum of Absolute Differences 残数系统中计算绝对差最小和的专用集成电路设计

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393032

Niras C. Vayalil, A. Safari, Yinan Kong

{"title":"ASIC design in Residue Number System for calculating minimum sum of Absolute Differences","authors":"Niras C. Vayalil, A. Safari, Yinan Kong","doi":"10.1109/ICCES.2015.7393032","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393032","url":null,"abstract":"The Sum of Absolute Differences (SAD) is widely used in motion-estimation algorithms, the most computationally intensive task in video compression, and also in determining similarities between two data sets. This paper proposes a SAD hardware implementation using a Residue Number System (RNS). Residue Number Systems have been used for decades in designing low-power and high-speed computer hardware, because of their inherent parallel structure. In RNS, large integers are represented as sets of smaller integers or residues, where the number bases or moduli are mutually prime. Since these residues are independent from each other, mathematical operations such as addition, subtraction and multiplication can be carried out without any carry propagation between residues, which is in most cases a limiting factor in binary systems. However, some arithmetical operations such as comparison and division are more difficult in RNS than in conventional binary systems, such as determining the sign and magnitude comparison of two numbers. The proposed SAD architecture is based on a very recent advance in fast sign-detection algorithms for RNS, and the experimental results show that the proposed architecture has higher speed and less area than previous SAD implementations.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123530692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Improved fuzzy Luenberger observer-based fault detection for BLDC motor 基于改进模糊Luenberger观测器的无刷直流电机故障检测

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393039

M. A. Eissa, Mahmoud S. Ahmed, R. Darwish, A. M. Bassiuny

引用次数: 6

A hybrid outlier detection algorithm based on partitioning clustering and density measures 一种基于分区聚类和密度测度的混合离群点检测算法

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393040

Hamada Rizk, Sherin M. ElGokhy, A. Sarhan

引用次数: 28

Principal component analysis-based spectral recognition for SSVEP-based Brain-Computer Interfaces 基于主成分分析的脑机接口频谱识别

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393085

A. Yehia, S. Eldawlatly, M. Taher

引用次数: 7

Constrained-based symbolic execution on virtual models for functional coverage verification 在功能覆盖验证的虚拟模型上基于约束的符号执行

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393027

Nahla Mohamed, A. Wahba, M. Safar, A. Salem

引用次数: 0

On the parallelization of SAT solvers 关于SAT求解器的并行化

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393031

Yasmeen Abd El Khalek, M. Safar, M. El-Kharashi

引用次数: 1