High-Efficient Memristive Genetic Algorithm for Feature Selection
Author:
Affiliation:
1. School of Integrated Circuits, Hubei Key Laboratory for Advanced Memories, Huazhong University of Science and Technology, Wuhan, China
2. Hubei Yangtze Memory Laboratories, Wuhan, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/16/10194493/10168823.pdf?arnumber=10168823
Reference26 articles.
1. A Double-Layered Hybrid Approach for Network Intrusion Detection System Using Combined Naive Bayes and SVM
2. Class-Specific Deep Feature Weighting for Naïve Bayes Text Classifiers
3. Forming-Free, Fast, Uniform, and High Endurance Resistive Switching From Cryogenic to High Temperatures in W/AlOx/Al2O3/Pt Bilayer Memristor
4. Implementation of Complete Boolean Logic Functions in Single Complementary Resistive Switch
5. Evolutionary Learning of Binary Neural Network Using a TaO x Memristor via Stochastic Stateful Logic
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