Results 31 to 40 of about 3,514 (178)
Self-Learning Hot Data Prediction: Where Echo State Network Meets NAND Flash Memories [PDF]
, 2020 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Ai, Jiaqiu +4 more
core +2 more sources
Heave compensation prediction based on echo state network with correntropy induced loss function.
PLoS ONE, 2019 In this paper, a new prediction approach is proposed for ocean vessel heave compensation based on echo state network (ESN). To improve the prediction accuracy and enhance the robustness against noise and outliers, a generalized similarity measure called ...
Xiaogang Huang +4 more
doaj +1 more source
Time Series Prediction Model of Grey Wolf Optimized Echo State Network
Data Science Journal, 2019 As a novel recursion neural network, Echo State Networks (ESN) are characterized by strong nonlinear prediction capability and effective and straightforward training algorithms.
Huiqing Wang +4 more
doaj +1 more source
Energies, 2022 This paper aims to develop an efficient pattern recognition method for engine fault end-to-end detection based on the echo state network (ESN) and multi-verse optimizer (MVO).
Xin Li +4 more
doaj +1 more source
Exploring Transfer Function Nonlinearity in Echo State Networks
, 2015 Supralinear and sublinear pre-synaptic and dendritic integration is considered to be responsible for nonlinear computation power of biological neurons, emphasizing the role of nonlinear integration as opposed to nonlinear output thresholding.
Goudarzi, Alireza +2 more
core +1 more source
IEEE AccessIn this article, a new kind of neural network model named multi-scale convolutional echo state network (MCESN) is proposed for solar irradiance prediction, which integrates the strong feature extraction capability of convolutional neural network (CNN ...
Dayong Yang, Tao Li, Zhijun Guo, Qian Li
doaj +1 more source
Empirical Analysis of the Necessary and Sufficient Conditions of the Echo State Property
, 2017 The Echo State Network (ESN) is a specific recurrent network, which has gained popularity during the last years. The model has a recurrent network named reservoir, that is fixed during the learning process.
Basterrech, Sebastián
core +1 more source
Brain-inspired modular echo state network for EEG-based emotion recognition
Frontiers in NeurosciencePrevious studies have successfully applied a lightweight recurrent neural network (RNN) called Echo State Network (ESN) for EEG-based emotion recognition.
Liuyi Yang +5 more
doaj +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Advanced Electronic Materials, EarlyView.ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
Advanced Intelligent Discovery, EarlyView.This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source