Global Asymptotic Stability and Stabilization of Long Short-Term Memory Neural Networks with Constant Weights and Biases
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1447-6
Abstract: In this paper, a global asymptotic stability condition for Long Short-Term Memory neural networks is presented. Since this condition is formulated in terms of the networks’ weight matrices and biases that are essentially control variables,… read more here.
Keywords: term memory; memory neural; long short; asymptotic stability ... See more keywords
Modeling affections with memristor-based associative memory neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.10.028
Abstract: Abstract Implementing compact and energy-efficient synaptic elements using nanoscale memristors has elicited widespread interest in building neural network circuits. Not only can the memristive neural network offer powerful computation capability, but it also exhibits intelligent… read more here.
Keywords: memristor based; memory neural; associative memory; memristor ... See more keywords
ReMemNN: A novel memory neural network for powerful interaction in aspect-based sentiment analysis
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.018
Abstract: Abstract Deep neural networks have been employed to analyze the sentiment of text sequences and achieved significant effect. However, these models still face the issues of weakness of pre-trained word embeddings and weak interaction between… read more here.
Keywords: memory neural; interaction; word embeddings; sentiment ... See more keywords
An optimization scheme for segmented-memory neural network
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.07.076
Abstract: Abstract Capture of long-term dependencies is a core task in sequence learning, and imitating the way of human memorization is a promising orientation. The existing algorithms can fractionate the sequence into segments with fixed length… read more here.
Keywords: neural network; optimization; segmented memory; memory ... See more keywords
Neural representations of time-linked memory
Sign Up to like & getrecommendations! Published in 2018 at "Neurobiology of Learning and Memory"
DOI: 10.1016/j.nlm.2018.03.024
Abstract: HighlightsForebrain neurons show tonic and phasic firings during intervals between two events.They signal identity of the prior event, expectation, or timing of the coming event.Relative selectivity for these types of information differs across regions.In rat… read more here.
Keywords: memory neural; time; firing patterns; phasic firings ... See more keywords
Generation of music pieces using machine learning: long short-term memory neural networks approach
Sign Up to like & getrecommendations! Published in 2019 at "Arab Journal of Basic and Applied Sciences"
DOI: 10.1080/25765299.2019.1649972
Abstract: Abstract In this article, we explore the usage of long short-term memory neural network (NN) in generating music pieces and propose an approach to do so. Bach’s musical style has been selected to train the… read more here.
Keywords: term memory; memory neural; music pieces; long short ... See more keywords
Arabic Diacritization Using Bidirectional Long Short-Term Memory Neural Networks With Conditional Random Fields
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3018885
Abstract: Arabic diacritics play a significant role in distinguishing words with the same orthography but different meanings, pronunciations, and syntactic functions. The presence of Arabic diacritics can be useful in many natural language processing applications, such… read more here.
Keywords: term memory; long short; neural networks; short term ... See more keywords
Multidirectional Associative Memory Neural Network Circuit Based on Memristor.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on biomedical circuits and systems"
DOI: 10.1109/tbcas.2023.3276077
Abstract: Multidirectional associative memory neural network(MAMNN) is a direct extension of bidirectional associative memory neural network, which can handle multiple associations. In this work, a circuit of MAMNN based on memristor is proposed, which simulates the… read more here.
Keywords: circuit; layer neurons; memory neural; associative memory ... See more keywords
Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.3031113
Abstract: Remaining useful life (RUL) prognosis is of great significance to improve the reliability, availability, and maintenance cost of an industrial equipment. Traditional machine learning method is not fit for dealing with time series signals and… read more here.
Keywords: term memory; long short; prognosis; short term ... See more keywords
Local–Global Memory Neural Network for Medication Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.2989364
Abstract: Electronic medical records (EMRs) play an important role in medical data mining and sequential data learning. In this article, we propose to use a sequential neural network with dynamic content-based memories to predict future medications,… read more here.
Keywords: neural network; global memory; memory; local global ... See more keywords
Singular-Value-Decomposition Analysis of Associative Memory in a Neural Network
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the Physical Society of Japan"
DOI: 10.7566/jpsj.86.024005
Abstract: We evaluate performance of associative memory in a neural network by based on the singular value decomposition (SVD) of image data stored in the network. We consider the situation in which the orig... read more here.
Keywords: singular value; network; memory neural; associative memory ... See more keywords