Airfoil Performance Analysis Using Shallow Neural Networks

Performance Analysis of Cellular Radio System Using Artificial Neural Networks

SSRN Electronic Journal ◽

10.2139/ssrn.2186273 ◽

2012 ◽

Author(s):

Kriti Priya Gupta

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Analysis ◽

Cellular Radio ◽

Radio System ◽

Artificial Neural

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Performance Analysis of Deep Dense Neural Networks on Traffic Signs Recognition

2021 International Conference of Technology, Science and Administration (ICTSA) ◽

10.1109/ictsa52017.2021.9406518 ◽

2021 ◽

Author(s):

Abdulfattah E. Ba Alawi ◽

Elham H. S. Anaam ◽

Basmah A. M. N. Al-sohbani

Keyword(s):

Neural Networks ◽

Performance Analysis ◽

Traffic Signs

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Performance Analysis of Different Neural Networks for Sentiment Analysis on IMDb Movie Reviews

2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) ◽

10.1109/icecte48615.2019.9303573 ◽

2019 ◽

Author(s):

Md. Rakibul Haque ◽

Salma Akter Lima ◽

Sadia Zaman Mishu

Keyword(s):

Neural Networks ◽

Performance Analysis ◽

Sentiment Analysis

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Performance Analysis of Non-Profiled Side Channel Attacks Based on Convolutional Neural Networks

2020 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) ◽

10.1109/apccas50809.2020.9301673 ◽

2020 ◽

Author(s):

Ngoc-Tuan Do ◽

Van-Phuc Hoang ◽

Van-Sang Doan

Keyword(s):

Neural Networks ◽

Performance Analysis ◽

Convolutional Neural Networks ◽

Side Channel ◽

Side Channel Attacks

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H∞ performance analysis for delayed Markovian jump neural networks via the Lyapunov-Krasovskii functional with delay-product-type terms

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2021.08.032 ◽

2021 ◽

Author(s):

Guoqiang Tan ◽

Zhanshan Wang

Keyword(s):

Neural Networks ◽

Performance Analysis ◽

Product Type ◽

Markovian Jump ◽

Markovian Jump Neural Networks

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Sectoral performance analysis of national greenhouse gas emission inventories by means of neural networks

The Science of The Total Environment ◽

10.1016/j.scitotenv.2018.11.311 ◽

2019 ◽

Vol 656 ◽

pp. 80-89 ◽

Cited By ~ 8

Author(s):

Raphael Ganzenmüller ◽

Prajal Pradhan ◽

Jürgen P. Kropp

Keyword(s):

Neural Networks ◽

Performance Analysis ◽

Greenhouse Gas ◽

Greenhouse Gas Emission ◽

Emission Inventories ◽

Gas Emission ◽

Sectoral Performance

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A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_7 ◽

2019 ◽

pp. 137-159 ◽

Cited By ~ 3

Author(s):

Janmenjoy Nayak ◽

Bighnaraj Naik ◽

Danilo Pelusi ◽

A. Vamsi Krishna

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Analysis ◽

Firefly Algorithm ◽

Comprehensive Review ◽

Artificial Neural ◽

And Performance

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Towards Designing and Performance Analysis of Evolving Higher Order Neural Networks for Modeling and Forecasting Exchange Rate Time Series Data

Proceedings of ICETIT 2019 - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-030-30577-2_22 ◽

2019 ◽

pp. 258-268

Author(s):

Kishore Kumar Sahu ◽

Sarat Chandra Nayak ◽

Himansu Sekhar Behera

Keyword(s):

Neural Networks ◽

Time Series ◽

Exchange Rate ◽

Performance Analysis ◽

Time Series Data ◽

Higher Order ◽

Series Data ◽

Modeling And Forecasting ◽

Higher Order Neural Networks ◽

And Performance

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A Comparative Study and Performance Analysis of Classification Techniques: Support Vector Machine, Neural Networks and Decision Trees

Communications in Computer and Information Science - Advances in Computing and Data Sciences ◽

10.1007/978-981-10-5427-3_2 ◽

2017 ◽

pp. 13-21 ◽

Cited By ~ 1

Author(s):

Kumarshankar Raychaudhuri ◽

Manoj Kumar ◽

Sanjana Bhanu

Keyword(s):

Neural Networks ◽

Support Vector Machine ◽

Performance Analysis ◽

Comparative Study ◽

Decision Trees ◽

Support Vector ◽

Classification Techniques ◽

And Performance

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Performance Analysis of NSL_KDD Data Set Using Neural Networks with Logistic Sigmoid Activation Unit

Smart Computing and Informatics - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-10-5544-7_18 ◽

2017 ◽

pp. 171-181

Author(s):

Vignendra Jannela ◽

Sireesha Rodda ◽

Shyam Nandan Reddy Uppuluru ◽

Sai Charan Koratala ◽

G. V. S. S. S. Chandra Mouli

Keyword(s):

Neural Networks ◽

Performance Analysis ◽

Data Set

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