Results 11 to 20 of about 7,083,147 (335)
Recurrent Neural Network and Auto-Regressive Recurrent Neural Network for trend prediction of COVID-19 in India [PDF]
ITM Web of Conferences, 2022 On 31st December 2019 in Wuhan China, the first case of Covid-19 was reported in Wuhan, Hubei province in China. Soon world health organization has declared contagious coronavirus disease (COVID-19) as a global pandemic in the month of March 2020.
Bouhaddour Samya +4 more
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An infrastructure for neural network construction [PDF]
, 2005 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.After many years of research the area of Artificial Intelligence is still searching for ways to construct a truly intelligent system.
Stewart, Richard
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Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Hadis merupakan sumber hukum dan pedoman kedua bagi umat Islam setelah Al-Qur’an dan banyak sekali hadis yang telah diriwayatkan oleh para ahli hadis selama ini.
Muhammad Yuslan Abu Bakar +1 more
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Discontinuities in Recurrent Neural Networks [PDF]
Neural Computation, 1999 This article studies the computational power of various discontinuous real computational models that are based on the classical analog recurrent neural network (ARNN). This ARNN consists of finite number of neurons; each neuron computes a polynomial net function and a sigmoid-like continuous activation function.
Ricard Gavaldà , Hava T. Siegelmann
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Minute-wise frost prediction: An approach of recurrent neural networks
Array, 2022 Frost events incur substantial economic losses to farmers. These events could induce damage to plants and crops by damaging the cells. In this article, a recurrent neural network-based method, automating the frost prediction process, is proposed.
Ian Zhou +3 more
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SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents [PDF]
AAAI Conference on Artificial Intelligence, 2016 We present SummaRuNNer, a Recurrent Neural Network (RNN) based sequence model for extractive summarization of documents and show that it achieves performance better than or comparable to state-of-the-art.
Ramesh Nallapati +2 more
semanticscholar +1 more source
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction [PDF]
International Joint Conference on Artificial Intelligence, 2017 The Nonlinear autoregressive exogenous (NARX) model, which predicts the current value of a time series based upon its previous values as well as the current and past values of multiple driving (exogenous) series, has been studied for decades. Despite the
Yao Qin +5 more
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Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting [PDF]
International Joint Conference on Artificial Intelligence, 2017 Timely accurate traffic forecast is crucial for urban traffic control and guidance. Due to the high nonlinearity and complexity of traffic flow, traditional methods cannot satisfy the requirements of mid-and-long term prediction tasks and often neglect ...
Ting Yu, Hao-Teng Yin, Zhanxing Zhu
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On the quantization of recurrent neural networks
CoRR, 2021 Integer quantization of neural networks can be defined as the approximation of the high precision computation of the canonical neural network formulation, using reduced integer precision. It plays a significant role in the efficient deployment and execution of machine learning (ML) systems, reducing memory consumption and leveraging typically faster ...
Jian Li, Raziel Alvarez
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