PMID- 27136666
OWN - NLM
STAT- MEDLINE
DCOM- 20170419
LR  - 20181202
IS  - 1879-2782 (Electronic)
IS  - 0893-6080 (Linking)
VI  - 79
DP  - 2016 Jul
TI  - FPGA implementation of neuro-fuzzy system with improved PSO learning.
PG  - 128-40
LID - S0893-6080(16)00029-0 [pii]
LID - 10.1016/j.neunet.2016.02.004 [doi]
AB  - This paper presents the first hardware implementation of neuro-fuzzy system (NFS) 
      with its metaheuristic learning ability on field programmable gate array (FPGA). 
      Metaheuristic learning of NFS for all of its parameters is accomplished by using 
      the improved particle swarm optimization (iPSO). As a second novelty, a new 
      functional approach, which does not require any memory and multiplier usage, is 
      proposed for the Gaussian membership functions of NFS. NFS and its learning using 
      iPSO are implemented on Xilinx Virtex5 xc5vlx110-3ff1153 and efficiency of the 
      proposed implementation tested on two dynamic system identification problems and 
      licence plate detection problem as a practical application. Results indicate that 
      proposed NFS implementation and membership function approximation is as effective 
      as the other approaches available in the literature but requires less hardware 
      resources.
CI  - Copyright (c) 2016 Elsevier Ltd. All rights reserved.
FAU - Karakuzu, Cihan
AU  - Karakuzu C
AD  - Bilecik Seyh Edebali University, Faculty of Engineering, Department of Computer 
      Engineering, Gulumbe Campus, 11210, Bilecik, Turkey. Electronic address: 
      cihan.karakuzu@bilecik.edu.tr.
FAU - Karakaya, Fuat
AU  - Karakaya F
AD  - Nigde University, Faculty of Engineering, Department of Electrical and 
      Electronics Engineering, Central Campus, 51240, Nigde, Turkey. Electronic 
      address: fkarakaya@nigde.edu.tr.
FAU - Cavuslu, Mehmet Ali
AU  - Cavuslu MA
AD  - Koc Information and Defence Technologies Inc., METU Technopolis, ODTU-Teknokent, 
      06800 Ankara, Turkey. Electronic address: ali.cavuslu@kocsavunma.com.tr.
LA  - eng
PT  - Journal Article
DEP - 20160408
PL  - United States
TA  - Neural Netw
JT  - Neural networks : the official journal of the International Neural Network 
      Society
JID - 8805018
SB  - IM
MH  - Algorithms
MH  - *Fuzzy Logic
MH  - *Machine Learning/trends
OTO - NOTNLM
OT  - FPGA implementation
OT  - Metaheuristic learning
OT  - Neuro-fuzzy network
OT  - System identification
OT  - VHDL
EDAT- 2016/05/03 06:00
MHDA- 2017/04/20 06:00
CRDT- 2016/05/03 06:00
PHST- 2015/08/18 00:00 [received]
PHST- 2015/12/20 00:00 [revised]
PHST- 2016/02/08 00:00 [accepted]
PHST- 2016/05/03 06:00 [entrez]
PHST- 2016/05/03 06:00 [pubmed]
PHST- 2017/04/20 06:00 [medline]
AID - S0893-6080(16)00029-0 [pii]
AID - 10.1016/j.neunet.2016.02.004 [doi]
PST - ppublish
SO  - Neural Netw. 2016 Jul;79:128-40. doi: 10.1016/j.neunet.2016.02.004. Epub 2016 Apr 
      8.