Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks
نویسندگان
چکیده
منابع مشابه
From Recurrent Neural Network to Long Short Term Memory Architecture
Despite more than 30 years of handwriting recognition research, Recognizing the unconstrained sequence is still a challenge task. The difficulty of segmenting cursive script has led to the low recognition rate. Hidden Markov Models (HMMs) are considered as state-of-theart methods for performing non-constrained handwriting recognition. However, HMMs have several well-known drawbacks. One of thes...
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ژورنال
عنوان ژورنال: Information
سال: 2020
ISSN: 2078-2489
DOI: 10.3390/info11050243