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Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2017, Volume 267, pp. 597 - 604
Journal Article
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 04/2018, Volume 40, Issue 4, pp. 849 - 862
.... In this paper, we propose a framework by using the recurrent neural network (RNN) as both a discriminative model for recognizing Chinese characters and a generative model for drawing (generating) Chinese characters... 
Recurrent neural networks | Shape | LSTM | handwriting | GRU | Character recognition | Standards | Handwriting recognition | Recurrent neural network | Writing | Trajectory | generative model | discriminative model | ORDER | HANDWRITING RECOGNITION | TEXT RECOGNITION | ONLINE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | State of the art | Handwriting | Neural networks | Machine learning | Artificial neural networks | Model accuracy
Journal Article
Neural Networks, ISSN 0893-6080, 08/2019, Volume 116, pp. 208 - 223
It has been known for discrete-time recurrent neural networks (NNs) that binary-state models using the Heaviside activation function... 
Recurrent neural network | Quasi-periodic number | Chomsky hierarchy | Cut language | UNIQUE EXPANSIONS | NUMBER | BASES | COMPUTATIONAL POWER | COMPLEXITY | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Neural networks | Analysis
Journal Article
2009, ISBN 9781605662145
"This book covers the current state-of-the-art theories and applications of neural networks with high-dimensional parameters"--Provided by publisher. 
Neural networks (Computer science) | Numbers, Complex | Biology, life sciences
eBook
Information sciences, ISSN 0020-0255, 2016, Volume 364-365, pp. 146 - 155
As a powerful tool for data regression and classification, neural networks have received considerable attention from researchers in fields such as machine learning, statistics, computer vision and so on... 
Deep learning | Recurrent neural networks | Randomized neural networks | Convolutional neural networks | DIMENSIONALITY | FUNCTIONAL-LINK NET | Randomiged neural networks | APPROXIMATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | PERCEPTRON | MODEL | Algorithms | Machine vision | Neural networks | Machine learning | Training | Networks | Randomization | Classification | Regression | Statistics | Convergence
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9304, 03/2015, Volume 23, Issue 3, pp. 517 - 529
.... More recently, it has been found that neural networks are particularly powerful at estimating probability distributions over word sequences, giving substantial improvements over state-of-the-art count models... 
recurrent neural network (RNN) | language modeling | long short-term memory (LSTM) | feedforward neural network | Kneser-Ney smoothing | Context | Training | Recurrent neural networks | Lattices | Speech | Feedforward neural networks | Feedforward neural network | ACOUSTICS | DYNAMIC-PROGRAMMING SEARCH | ENGINEERING, ELECTRICAL & ELECTRONIC | Voice recognition | Neural networks | Algorithms | Search methods | Architecture | Estimating | Mathematical models | Feedforward | Statistics | Counting
Journal Article
Neural Networks, ISSN 0893-6080, 05/2017, Volume 89, pp. 61 - 73
In this paper, the H∞ state estimation problem is investigated for a class of uncertain discrete-time neural networks subject to infinitely distributed delays and fading channels... 
Recurrent neural networks | Randomly occurring uncertainties | Channel fadings | State estimation | Infinitely distributed delays | Models, Theoretical | Uncertainty | Algorithms | Time Factors | Computer Simulation | Random Allocation | Neural Networks (Computer) | Fading channels | Neural networks | Analysis
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 02/2016, Volume 27, Issue 2, pp. 361 - 374
Journal Article
Computers & security, ISSN 0167-4048, 2018, Volume 77, pp. 578 - 594
Static malware analysis is well-suited to endpoint anti-virus systems as it can be conducted quickly by examining the features of an executable piece of code... 
Deep learning | Recurrent neural networks | Malware detection | Intrusion detection | Machine learning | COMPUTER SCIENCE, INFORMATION SYSTEMS | Computer science | Usage | Neural networks | Cyberterrorism | Analysis | Spyware | Computer Science - Cryptography and Security
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2017, Volume 240, pp. 98 - 109
.... To overcome these drawbacks, a recurrent neural network based health indicator (RNN-HI) for RUL prediction of bearings is proposed... 
Recurrent neural network | Bearing health indicator | Related-similarity feature | PROGNOSTICS | SYSTEM | PERFORMANCE DEGRADATION | SELF-ORGANIZING MAP | ROTATING MACHINERY | FAULT-DIAGNOSIS | FRAMEWORK | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Neural networks
Journal Article