Results 41 to 50 of about 3,514 (178)
Echo state network for occupancy prediction and pattern mining in intelligent environment [PDF]
, 2009 Pattern analysis and prediction of sensory data is becoming an increasing scientific challenge and a massive economical interest supports the need for better pattern mining techniques.
Langensiepen, C +4 more
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Advanced Intelligent Systems, EarlyView.The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald +7 more
wiley +1 more source
A Comparative Study of Reservoir Computing for Temporal Signal Processing [PDF]
, 2014 Reservoir computing (RC) is a novel approach to time series prediction using recurrent neural networks. In RC, an input signal perturbs the intrinsic dynamics of a medium called a reservoir.
Banda, Peter +4 more
core +2 more sources
Echo State Networks: analysis, training and predictive control
, 2019 The goal of this paper is to investigate the theoretical properties, the training algorithm, and the predictive control applications of Echo State Networks (ESNs), a particular kind of Recurrent Neural Networks. First, a condition guaranteeing incremetal
albertini +12 more
core +1 more source
A Novel Approach to Energy Management in Electric Steelworks
steel research international, EarlyView.Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla +12 more
wiley +1 more source
Prognostic of RUL based on Echo State Network Optimized by Artificial Bee Colony
International Journal of Prognostics and Health Management, 2016 Prognostic is an engineering technique used to predict the future health state or behavior of an equipment or system. In this work, a data-driven hybrid approach for prognostic is presented.
Edgar J. Amaya, Alberto J. Alvares
doaj +1 more source
Dynamic clustering of time series with Echo State Networks [PDF]
, 2019 In this paper we introduce a novel methodology for unsupervised analysis of time series, based upon the iterative implementation of a clustering algorithm embedded into the evolution of a recurrent Echo State Network.
A Saxena +10 more
core +1 more source
Adherence to Clotting Factor Prophylaxis in Adolescent and Adult Males With Haemophilia
Haemophilia, EarlyView.ABSTRACT Introduction Clotting factor prophylaxis remains the most prescribed standard‐of‐care treatment for people with haemophilia (PwH). Prophylaxis prevents bleeds, joint damage, and improves quality of life (QoL). Its success depends on treatment adherence, consisting of socioeconomic, behavioural, and disease‐ or therapy‐related factors.
Nathália Martins Beserra +9 more
wiley +1 more source
Energies, 2015 As a novel recurrent neural network (RNN), an echo state network (ESN) that utilizes a reservoir with many randomly connected internal units and only trains the readout, avoids increased complexity of training procedures faced by traditional RNN. The ESN
Gang Li +3 more
doaj +1 more source
System Identification of multi-rotor UAVs using echo state networks [PDF]
, 2015 Controller design for aircraft with unusual configurations presents unique challenges, particularly in extracting valid mathematical models of the MRUAVs behaviour.
Anderson, David +2 more
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