Pattern classification of fabric defects using a probabilistic neural network and its hardware implementation using the field programmable gate array system

被引：0

作者：

Hasnat A. ^{[1
]}

Ghosh A. ^{[1
]}

Khatun A. ^{[2
]}

Halder S. ^{[3
]}

机构：

[1] Government College of Engineering & Textile Technology, Berhampore, West Bengal

[2] Jadavpur University, Kolkata, West Bengal

[3] Government Govt. College of Engineering and Leather Technology, Kolkata, West Bengal

来源：

| 1600年 / Lukasiewicz Research Network - Institute of Biopolymers and Chemical Fibres卷 / 25期

关键词：

Classification; Fabric defect; Field programmable gate arrays; Probabilistic neural network; Radial basis function;

D O I：

10.5604/01.3001.0010.1709

中图分类号：

学科分类号：

摘要：

This study proposes a fabric defect classification system using a Probabilistic Neural Network (PNN) and its hardware implementation using a Field Programmable Gate Arrays (FPGA) based system. The PNN classifier achieves an accuracy of 98 ± 2% for the test data set, whereas the FPGA based hardware system of the PNN classifier realises about 94±2% testing accuracy. The FPGA system operates as fast as 50.777 MHz, corresponding to a clock period of 19.694 ns. © 2017, Institute of Biopolymers and Chemical Fibres. All rights reserved.

引用

页码：42 / 48

页数：6

共 50 条

[41] Fringe pattern demodulation using the one-dimensional continuous wavelet transform: field-programmable gate array implementation
Abid, Abdulbasit
APPLIED OPTICS, 2013, 52 (07) : 1468 - 1471
[42] Implementation of Dynamic Matrix Control Algorithm Using Field Programmable Gate Array: Preliminary Results
Wojtulewicz, Andrzej
TRENDS IN ADVANCED INTELLIGENT CONTROL, OPTIMIZATION AND AUTOMATION, 2017, 577 : 325 - 334
[43] Neural network implementation in hardware using FPGAs
Sahin, Suhap
Becerikli, Yasar
Yazici, Suleyman
NEURAL INFORMATION PROCESSING, PT 3, PROCEEDINGS, 2006, 4234 : 1105 - 1112
[44] A field-programmable gate array system for sonar image recognition based on convolutional neural network
Wang, Chong
Jiang, Yu
Wang, Kai
Wei, Fenglin
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2021, 235 (10) : 1808 - 1818
[45] Application of Global Dynamic Reconfiguration in Artificial Neural Network System based on Field Programmable Gate Array
LI Wei
Semiconductor Photonics and Technology, 2008, (03) : 174 - 178
[46] Classification of Electrical Appliances Using Magnetic Field and Probabilistic Neural Network
Rosdi, Nurul Aishah Mohd
Nordin, Farah Hani
Ramasamy, Agileswari K.
Mustafa, Nur Badariah Ahmad
2014 IEEE 5TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM (ICSGRC), 2014, : 268 - 273
[47] Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks
Kakani, Vijay
Li, Xingyou
Cui, Xuenan
Kim, Heetak
Kim, Byung-Soo
Kim, Hakil
MICROMACHINES, 2023, 14 (07)
[48] Implementation of Multimedia System-on-Chip in Field Programmable Gate Array Device
Kodavalla, Vijay Kumar
Rao, Venumadhav H.
Panakkal, Jaison Martin
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT-2020), 2020, : 947 - 952
[49] HARDWARE IMPLEMENTATION OF FUZZY REPLACEMENT ALGORITHM FOR CACHE MEMORIES USING FIELD-PROGRAMMABLE GATE ARRAYS
HOSSAIN, A
MANZOUL, MA
CYBERNETICS AND SYSTEMS, 1993, 24 (02) : 81 - 90
[50] Field programmable gate array implementation of a fault location system in transmission lines based on artificial neural networks
Ezquerra, J.
Valverde, V.
Mazon, A. J.
Zamora, I.
Zamora, J. J.
IET GENERATION TRANSMISSION & DISTRIBUTION, 2011, 5 (02) : 191 - 198

← 1 2 3 4 5 →