Efficient fog prediction with multi-objective evolutionary neural networks

Applied Soft Computing ◽

10.1016/j.asoc.2018.05.035 ◽

2018 ◽

Vol 70 ◽

pp. 347-358 ◽

Cited By ~ 5

Author(s):

A.M. Durán-Rosal ◽

J.C. Fernández ◽

C. Casanova-Mateo ◽

J. Sanz-Justo ◽

S. Salcedo-Sanz ◽

...

Keyword(s):

Neural Networks ◽

Multi Objective ◽

Evolutionary Neural Networks ◽

Fog Prediction

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A Constraint Handling Technique for Implementing Multi-Objective Evolutionary Neural Networks

2018 15th International Multi-Conference on Systems, Signals & Devices (SSD) ◽

10.1109/ssd.2018.8570438 ◽

2018 ◽

Author(s):

R. El Hamdi ◽

M. Njah

Keyword(s):

Neural Networks ◽

Constraint Handling ◽

Multi Objective ◽

Evolutionary Neural Networks ◽

Handling Technique

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Automated Test Input Generation for Convolutional Neural Networks by Implementing Multi-objective Evolutionary Algorithms

2020 Eighth International Symposium on Computing and Networking Workshops (CANDARW) ◽

10.1109/candarw51189.2020.00040 ◽

2020 ◽

Author(s):

Lingfeng ZHANG ◽

Hiroyuki SATO

Keyword(s):

Neural Networks ◽

Evolutionary Algorithms ◽

Convolutional Neural Networks ◽

Multi Objective ◽

Test Input ◽

Automated Test

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Image filtering with multilayered cellularly connected evolutionary neural networks

2012 IEEE Symposium on Computers & Informatics (ISCI) ◽

10.1109/isci.2012.6222664 ◽

2012 ◽

Author(s):

Otsuka Junji ◽

Nagao Tomoharu

Keyword(s):

Neural Networks ◽

Image Filtering ◽

Evolutionary Neural Networks

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Hysteresis compensation and adaptive control based evolutionary neural networks for piezoelectric actuator

International Journal of Intelligent Systems ◽

10.1002/int.22519 ◽

2021 ◽

Author(s):

Nguyen N. Son ◽

Cao Van Kien ◽

Ho P. H. Anh

Keyword(s):

Neural Networks ◽

Adaptive Control ◽

Piezoelectric Actuator ◽

Hysteresis Compensation ◽

Evolutionary Neural Networks

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Simultaneous optimization of thermal and electrical conductivity of high density polyethylene-carbon particle composites by artificial neural networks and multi-objective genetic algorithm

Computational Materials Science ◽

10.1016/j.commatsci.2021.110956 ◽

2022 ◽

Vol 201 ◽

pp. 110956

Author(s):

Miguel García-Carrillo ◽

Adriana B. Espinoza-Martínez ◽

Luis F. Ramos-de Valle ◽

Saúl Sánchez-Valdés

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Electrical Conductivity ◽

Artificial Neural Networks ◽

High Density Polyethylene ◽

Carbon Particle ◽

High Density ◽

Simultaneous Optimization ◽

Multi Objective ◽

Multi Objective Genetic Algorithm

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Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images

2018 15th International Conference on Ubiquitous Robots (UR) ◽

10.1109/urai.2018.8441813 ◽

2018 ◽

Cited By ~ 5

Author(s):

Justinas Miseikis ◽

Inka Brijacak ◽

Saeed Yahyanejad ◽

Kyrre Glette ◽

Ole Jakob Elle ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Position Estimation ◽

Multi Objective

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Multi-Objective Optimization Methods Based on Artificial Neural Networks

Search Algorithms and Applications ◽

10.5772/15113 ◽

2011 ◽

Author(s):

Sara Carcangiu ◽

Alessandra Fanni ◽

Augusto Montisci

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Optimization Methods ◽

Multi Objective Optimization ◽

Multi Objective ◽

Artificial Neural

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Optimal design of artificial neural networks by a multi-objective strategy: groundwater level predictions

Hydrological Sciences Journal ◽

10.1623/hysj.51.3.502 ◽

2006 ◽

Vol 51 (3) ◽

pp. 502-523 ◽

Cited By ~ 42

Author(s):

ORAZIO GIUSTOLISI ◽

VINCENZO SIMEONE

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Optimal Design ◽

Groundwater Level ◽

Multi Objective ◽

Artificial Neural

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Stable alluvial channel design using evolutionary neural networks

Journal of Hydrology ◽

10.1016/j.jhydrol.2018.09.057 ◽

2018 ◽

Vol 566 ◽

pp. 770-782 ◽

Cited By ~ 13

Author(s):

Saba Shaghaghi ◽

Hossein Bonakdari ◽

Azadeh Gholami ◽

Ozgur Kisi ◽

Jalal Shiri ◽

...

Keyword(s):

Neural Networks ◽

Channel Design ◽

Evolutionary Neural Networks ◽

Alluvial Channel

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Evolutionary Neural Networks versus Adaptive Resonance Theory Net for Breast Cancer Diagnosis

Proceedings of the International Conference on Informatics and Analytics - ICIA-16 ◽

10.1145/2980258.2980458 ◽

2016 ◽

Cited By ~ 3

Author(s):

Tanistha Nayak ◽

Tirtharaj Dash ◽

D. Chandrasekhar Rao ◽

Prabhat K. Sahu

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

Adaptive Resonance Theory ◽

Resonance Theory ◽

Adaptive Resonance ◽

Evolutionary Neural Networks

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