Design of highly effective multilayer feedforward neural network by using genetic algorithm

Highly Effective ◽

Springer Proceedings in Physics - International Youth Conference on Electronics, Telecommunications and Information Technologies ◽

Configuring the Interval Target in a Multilayer Feedforward Neural Network on the Example of the Problem of Medical Diagnostics

10.1007/978-3-030-58868-7_51 ◽

2020 ◽

pp. 463-475

Author(s):

Eugeniy Mirkin ◽

Elena Savchenko

Keyword(s):

Neural Network ◽

Medical Diagnostics ◽

Pattern Recognition and Artificial Intelligence - Communications in Computer and Information Science ◽

A Simple Authentication Method with Multilayer Feedforward Neural Network Using Keystroke Dynamics

10.1007/978-3-030-37548-5_2 ◽

2019 ◽

pp. 9-23

Author(s):

Ahmet Melih Gedikli ◽

Mehmet Önder Efe

Keyword(s):

Neural Network ◽

Keystroke Dynamics ◽

Chaos Algorithm of Multilayer Feedforward Neural Network

2006 Chinese Control Conference ◽

10.1109/chicc.2006.280562 ◽

2006 ◽

Author(s):

Jia-hai Zhang ◽

Yao-qun Xu

Keyword(s):

Neural Network ◽

Chaos Algorithm ◽

Multilayer Feedforward Neural Network Models for Pattern Recognition Tasks in Earthquake Engineering

Lecture Notes in Computer Science - Advanced Computing, Networking and Security ◽

10.1007/978-3-642-29280-4_17 ◽

2012 ◽

pp. 154-162 ◽

Cited By ~ 2

Author(s):

T. Ashwini Reddy ◽

K. Renuka Devi ◽

Suryakanth V. Gangashetty

Keyword(s):

Neural Network ◽

Pattern Recognition ◽

Earthquake Engineering ◽

Network Models ◽

Neural Network Models ◽

Cascade Steepest Descendant Learning Algorithm for Multilayer Feedforward Neural Network.

JSME International Journal Series C ◽

10.1299/jsmec.43.350 ◽

2000 ◽

Vol 43 (2) ◽

pp. 350-358 ◽

Cited By ~ 2

Author(s):

Gou-Jen WANG ◽

Jai-Juin CHEN

Keyword(s):

Neural Network ◽

Learning Algorithm ◽

Comparing forecasting performances between multilayer feedforward neural network and recurrent neural network in Malaysia’s load

Journal of Interdisciplinary Mathematics ◽

10.1080/09720502.2010.10700685 ◽

2010 ◽

Vol 13 (2) ◽

pp. 125-134

Author(s):

Norizan Mohamed ◽

Maizah Hura Ahmad ◽

Zuhaimy Ismail ◽

Khairil Anuar Arshad

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Hybrid Approach for Lower Limb Joint Angle Estimation using Genetic Algorithm and Feedforward Neural Network

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc42975.2020.9283281 ◽

2020 ◽

Author(s):

Takenori Obo ◽

Shohei Arai ◽

Tadamitsu Matsuda ◽

Yasushi Kurihara

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Lower Limb ◽

Joint Angle ◽

Hybrid Approach ◽

Angle Estimation

Multiplierless multilayer feedforward neural network design using quantised neurons

Electronics Letters ◽

10.1049/el:20020465 ◽

2002 ◽

Vol 38 (13) ◽

pp. 645 ◽

Cited By ~ 5

Author(s):

H.K. Kwan ◽

C.Z. Tang

Keyword(s):

Neural Network ◽

Network Design ◽

Optimal Hardware Implementation of a Feedforward Neural Network Topology using a Genetic Algorithm for Prunning

2007 International Semiconductor Conference ◽

10.1109/smicnd.2007.4519759 ◽

2007 ◽

Author(s):

C.I. Vizitiu ◽

A. Radu ◽

T. Oroian ◽

C. Molder

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Network Topology ◽

Hardware Implementation ◽

Feedforward Neural Network

Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings

Energy and AI ◽

10.1016/j.egyai.2020.100015 ◽

2020 ◽

Vol 2 ◽

pp. 100015 ◽

Cited By ~ 4

Author(s):

X.J. Luo ◽

Lukumon O. Oyedele ◽

Anuoluwapo O. Ajayi ◽

Olugbenga O. Akinade ◽

Juan Manuel Davila Delgado ◽

...

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Network Architecture ◽

Electricity Consumption ◽

Neural Network Architecture