Training process reduction based on potential weights linear analysis to accelerate back propagation network.
Learning is the important property of Back Propagation Network (BPN) and finding the suitable weights and thresholds during training in order to improve training time as well as achieve high accuracy. Currently, data pre-processing such as dimension reduction input values and pre-training are the c...
| Main Authors: | Asadi, Roya, Mustapha, Norwati, Sulaiman, Md. Nasir |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
IJCSIS Press
2009
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/17465/ http://psasir.upm.edu.my/id/eprint/17465/1/Training%20process%20reduction%20based%20on%20potential%20weights%20linear%20analysis%20to%20accelerate%20back%20propagation%20network.pdf |
Similar Items
Preprocessing And Pretraining Of Multilayer Feed Forward Neural Network
by: Asadi, Roya
Published: (2009)
by: Asadi, Roya
Published: (2009)
An adaptation of social Learning in evolutionary computation for tic-tac-toe.
by: Yaakob, Razali, et al.
Published: (2009)
by: Yaakob, Razali, et al.
Published: (2009)
Instance reduction for one-class classification
by: Krawczyk, Bartosz, et al.
Published: (2018)
by: Krawczyk, Bartosz, et al.
Published: (2018)
Enhanced unscented transform method for probabilistic load flow studies
by: Oke, Oluwabukola A.
Published: (2013)
by: Oke, Oluwabukola A.
Published: (2013)
Dynamic bayesian networks in Classification-and-Ranking Architecture of Response Generation
by: Mustapha, Aida, et al.
Published: (2011)
by: Mustapha, Aida, et al.
Published: (2011)
Back propagation neural network and non-linear regression models for dengue outbreak prediction
by: Husin, Nor Azura
Published: (2008)
by: Husin, Nor Azura
Published: (2008)
A dimensioning and tolerancing methodology for concurrent engineering applications I: problem representation
by: Islam, Mohammad Nazrul
Published: (2009)
by: Islam, Mohammad Nazrul
Published: (2009)
Computational Intelligence Techniques for New Product Design
by: Chan, Kit Yan, et al.
Published: (2012)
by: Chan, Kit Yan, et al.
Published: (2012)
Catalytic hydrosilylation in reductive ether synthesis and reductive Beckmann rearrangements
by: Wilson, James
Published: (2022)
by: Wilson, James
Published: (2022)
A modified indicator-based evolutionary algorithm (mIBEA)
by: Li, Wenwen, et al.
Published: (2017)
by: Li, Wenwen, et al.
Published: (2017)
Application of simulated neural networks as Non-Linear Modular Modeling Method for predicting shelf life of processed cheese / Sumit Goyal and Gyanendra Kumar Goyal
by: Goyal, Sumit, et al.
Published: (2012)
by: Goyal, Sumit, et al.
Published: (2012)
A study of evolutionary multiobjective algorithms and their application to knapsack and nurse scheduling problems
by: Le, Khoi Nguyen
Published: (2011)
by: Le, Khoi Nguyen
Published: (2011)
Runtime analysis of evolutionary algorithms with complex fitness evaluation mechanisms
by: Corus, Dogan
Published: (2018)
by: Corus, Dogan
Published: (2018)
Classification of herbs plant diseases via hierachical dynamic artificial neural network after image removal using kernel regression framework
by: Abdullah, Lili Nurliyana, et al.
Published: (2011)
by: Abdullah, Lili Nurliyana, et al.
Published: (2011)
Model reduction for driven PDEs: Application to polymer constitutive equations
by: Mellor, Daniel
Published: (2024)
by: Mellor, Daniel
Published: (2024)
Use of Computational Methods To Understand The Pattern Of Antimicrobial Resistance
by: Chio, Hok In
Published: (2024)
by: Chio, Hok In
Published: (2024)
Assessing contemporary parenting dimensions : development and psychometric investigation of the parenting behaviours and dimensions questionnaire
by: Reid, Carly Ae Yeong
Published: (2012)
by: Reid, Carly Ae Yeong
Published: (2012)
The tuning of error signal for back-propagation algorithms
by: Rengasamy, Renugah
Published: (2008)
by: Rengasamy, Renugah
Published: (2008)
Predicting stochastic harmonics of multiple converters in a power system (microgrid)
by: Ivry, Preye Milton
Published: (2016)
by: Ivry, Preye Milton
Published: (2016)
New Complexity Weights for Function Point Analysis Using Artificial Neural Networks
by: Mohammed Abdullah, Hasan Al-Hagri
Published: (2004)
by: Mohammed Abdullah, Hasan Al-Hagri
Published: (2004)
Evaluating alternative gait strategies using evolutionary robotics
by: Sellers, William Irvin, et al.
Published: (2004)
by: Sellers, William Irvin, et al.
Published: (2004)
The Importance of Including the Geoid in Terrestrial Survey Data Reduction to the Geocentric Datum of Australia
by: Featherstone, Will
Published: (1997)
by: Featherstone, Will
Published: (1997)
Noise reduction in essay dataset for automated essay grading
by: Fazal, Anhar, et al.
Published: (2011)
by: Fazal, Anhar, et al.
Published: (2011)
Dynamic unsupervised feedforward neural network clustering / Roya Asadi
by: Roya, Asadi
Published: (2016)
by: Roya, Asadi
Published: (2016)
Catalytic reductions and synthesis applications of organic azides
by: Scrafield, Benjamin Luke
Published: (2022)
by: Scrafield, Benjamin Luke
Published: (2022)
Central extension of low dimensional associative and Leibniz algebras
by: Ab Rahman, Nurnazhifa
Published: (2020)
by: Ab Rahman, Nurnazhifa
Published: (2020)
Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim
by: Ibrahim, Endratno
Published: (2006)
by: Ibrahim, Endratno
Published: (2006)
Method of efficiently predicting the conducted emissions of multiple VSCs
by: Ivry, Preye Milton, et al.
Published: (2014)
by: Ivry, Preye Milton, et al.
Published: (2014)
Detecting change and dealing with uncertainty in imperfect evolutionary environments
by: Mujtaba, Hasan, et al.
Published: (2015)
by: Mujtaba, Hasan, et al.
Published: (2015)
Weight Median Filter Using Neural Network for Reducing Impulse Noise
by: Hasoon, Feras N.
Published: (2004)
by: Hasoon, Feras N.
Published: (2004)
Neurocontrol of a multi-effect batch distillation pilot plant based on evolutionary reinforcement learning
by: Conradie, A., et al.
Published: (2010)
by: Conradie, A., et al.
Published: (2010)
Weighted Maximum Median Likelihood Estimation For Parameters In Multiple Linear Regression Model
by: Mohamed Ramli, Norazan
Published: (2008)
by: Mohamed Ramli, Norazan
Published: (2008)
Back Propagation Algorithm-Based Intelligent Model for Botnet Detection
by: Nik Quosthoni, Sunaidi, et al.
Published: (2018)
by: Nik Quosthoni, Sunaidi, et al.
Published: (2018)
The application of back propagation neural network in the prognosis of breast cancer / Hazlina Hamdan
by: Hazlina , Hamdan
Published: (2004)
by: Hazlina , Hamdan
Published: (2004)
Local DTW coefficients and pitch feature for back-propagation NN digits recognition
by: Sudirman, R., et al.
Published: (2006)
by: Sudirman, R., et al.
Published: (2006)
An Improvement on Extended Kalman Filter for Neural Network Training
by: Tsan, Ken Yim
Published: (2005)
by: Tsan, Ken Yim
Published: (2005)
Deployment of windows update using KiXtart scripting language / Izan Baizura Mohd Ismail
by: Mohd Ismail, Izan Baizura
Published: (2006)
by: Mohd Ismail, Izan Baizura
Published: (2006)
Evolutionary genetic algorithm as a generative tools in identifying Malay, Chinese and Indian cultural product DNA / Izzuddinazwan Misri
by: Misri, Izzuddinazwan
Published: (2015)
by: Misri, Izzuddinazwan
Published: (2015)
Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin
by: Mohd Yassin, Ahmad Ihsan
Published: (2014)
by: Mohd Yassin, Ahmad Ihsan
Published: (2014)
Recalibrating Equus evolution using the genome sequence of an early Middle Pleistocene horse
by: Orlando, L., et al.
Published: (2013)
by: Orlando, L., et al.
Published: (2013)
Similar Items
-
Preprocessing And Pretraining Of Multilayer Feed Forward Neural Network
by: Asadi, Roya
Published: (2009) -
An adaptation of social Learning in evolutionary computation for tic-tac-toe.
by: Yaakob, Razali, et al.
Published: (2009) -
Instance reduction for one-class classification
by: Krawczyk, Bartosz, et al.
Published: (2018) -
Enhanced unscented transform method for probabilistic load flow studies
by: Oke, Oluwabukola A.
Published: (2013) -
Dynamic bayesian networks in Classification-and-Ranking Architecture of Response Generation
by: Mustapha, Aida, et al.
Published: (2011)