A Computationally Efficient Weight Pruning Algorithm for Artificial Neural Network Classifiers

Arabian Journal for Science and Engineering ◽

10.1007/s13369-017-2887-2 ◽

2017 ◽

Vol 43 (12) ◽

pp. 6787-6799

Author(s):

Sakshi ◽

Ravi Kumar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Computationally Efficient ◽

Pruning Algorithm ◽

Artificial Neural ◽

Neural Network Classifiers ◽

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Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring

Applied Stochastic Models in Business and Industry ◽

10.1002/asmb.2614 ◽

2021 ◽

Author(s):

Damla Ilter ◽

Eylem Deniz ◽

Ozan Kocadagli

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Genetic Algorithms ◽

Feature Selection ◽

Credit Scoring ◽

Selection Procedure ◽

Information Complexity ◽

Artificial Neural ◽

Neural Network Classifiers

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Simple and Computationally Efficient Movement Classification Approach for EMG-controlled Prosthetic Hand: ANFIS vs. Artificial Neural Network

Intelligent Automation & Soft Computing ◽

10.1080/10798587.2015.1008735 ◽

2015 ◽

Vol 21 (4) ◽

pp. 559-573 ◽

Author(s):

Hessam Jahani Fariman ◽

Siti A. Ahmad ◽

M. Hamiruce Marhaban ◽

M. Ali Jan Ghasab ◽

Paul H. Chappell

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Prosthetic Hand ◽

Computationally Efficient ◽

Classification Approach ◽

Artificial Neural ◽

Movement Classification

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A formal selection and pruning algorithm for feedforward artificial neural network optimization

IEEE Transactions on Neural Networks ◽

10.1109/72.774273 ◽

1999 ◽

Vol 10 (4) ◽

pp. 964-968 ◽

Author(s):

P.V.S. Ponnapalli ◽

K.C. Ho ◽

M. Thomson

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Optimization ◽

Neural Network Optimization ◽

Pruning Algorithm ◽

Artificial Neural

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Use of bootstrap samples in designing artificial neural network classifiers

Proceedings of ICNN'95 - International Conference on Neural Networks ◽

10.1109/icnn.1995.489001 ◽

2002 ◽

Author(s):

Y. Mitani ◽

Y. Hamamoto ◽

S. Tomita

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Artificial Neural ◽

Neural Network Classifiers

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Performance analysis of K-nearest neighbor, support vector machine, and artificial neural network classifiers for driver drowsiness detection with different road geometries

International Journal of Distributed Sensor Networks ◽

10.1177/1550147717733391 ◽

2017 ◽

Vol 13 (9) ◽

pp. 155014771773339 ◽

Author(s):

Zhenlong Li ◽

Qingzhou Zhang ◽

Xiaohua Zhao

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Support Vector Machine ◽

Performance Analysis ◽

Nearest Neighbor ◽

Support Vector ◽

K Nearest Neighbor ◽

Driver Drowsiness ◽

Artificial Neural ◽

Neural Network Classifiers

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On the behavior of artificial neural network classifiers in high-dimensional spaces

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/34.494648 ◽

1996 ◽

Vol 18 (5) ◽

pp. 571-574 ◽

Author(s):

Y. Hamamoto ◽

S. Uchimura ◽

S. Tomita

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

High Dimensional ◽

Artificial Neural ◽

Neural Network Classifiers

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Artificial neural network based chemical mechanisms for computationally efficient modeling of hydrogen/carbon monoxide/kerosene combustion

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2020.08.081 ◽

2020 ◽

Vol 45 (53) ◽

pp. 29594-29605

Author(s):

Jian An ◽

Guoqiang He ◽

Kaihong Luo ◽

Fei Qin ◽

Bing Liu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Carbon Monoxide ◽

Computationally Efficient ◽

Chemical Mechanisms ◽

Artificial Neural ◽

Efficient Modeling

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Temporal Factors of EEG and Artificial Neural Network Classifiers of Mental Workload

PsycEXTRA Dataset ◽

10.1037/e572172013-040 ◽

2012 ◽

Author(s):

B. N. Penaranda ◽

Carryl L. Baldwin

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Mental Workload ◽

Temporal Factors ◽

Artificial Neural ◽

Neural Network Classifiers

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Expanding the structure of shunting inhibitory artificial neural network classifiers

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) ◽

10.1109/ijcnn.2002.1007601 ◽

2003 ◽

Author(s):

G. Arulampalam ◽

A. Bouzerdoum

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Artificial Neural ◽

Neural Network Classifiers

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Photic driving response in primary headache: diagnostic value tested by discriminant analysis and artificial neural network classifiers

The Italian Journal of Neurological Sciences ◽

10.1007/s100720050006 ◽

1999 ◽

Vol 20 (1) ◽

pp. 23-28 ◽

Author(s):

M. de Tommaso ◽

V. Sciruicchio ◽

R. Bellotti ◽

M. Guido ◽

G. Sasanelli ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Discriminant Analysis ◽

Primary Headache ◽

Diagnostic Value ◽

Photic Driving ◽

Artificial Neural ◽

Neural Network Classifiers ◽

Photic Driving Response

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