Dynamic Tikhonov State Forecasting Based on Large-Scale Deep Neural Network Constraints

Dynamic Tikhonov State Forecasting Based on Large-Scale Deep Neural Network Constraints

This work presents dynamic Tikhonov state forecasting based on large-scale deep neural network constraint for the solution to a dynamic inverse problem of electroencephalographic brain mapping. The dynamic constraint is obtained by using a large-scale deep neural network to approximate the dynamics...

Full description

Bibliographic Details
Main Authors:	Cristhian Molina, Juan Martinez, Eduardo Giraldo
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Series:	Engineering Proceedings
Subjects:	dynamic state forecasting deep neural network large scale
Online Access:	https://www.mdpi.com/2673-4591/39/1/28

Similar Items

Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series
by: Jacopo De Stefani, et al.
Published: (2021-09-01)

In Vivo Neural Interfaces—From Small- to Large-Scale Recording
by: Bingjie Zhang, et al.
Published: (2022-06-01)

Seasonal precipitation forecasting for water management in the Kosi Basin, India using large-scale climate predictors
by: Manjeet Singh Dhillon, et al.
Published: (2023-06-01)

Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation
by: Minglei Fu, et al.
Published: (2020-01-01)

Monthly Precipitation Forecasting in the Han River Basin, South Korea, Using Large-Scale Teleconnections and Multiple Regression Models
by: Chul-Gyum Kim, et al.
Published: (2020-06-01)

Water consumption time series forecasting in urban centers using deep neural networks
by: C. G. García-Soto, et al.
Published: (2024-01-01)

VLSI-Friendly Filtering Algorithms for Deep Neural Networks
by: Aleksandr Cariow, et al.
Published: (2023-08-01)

Deep Neural Network Algorithm Feedback Model with Behavioral Intelligence and Forecast Accuracy
by: Taikyeong Jeong
Published: (2020-09-01)

Building Energy Consumption Raw Data Forecasting Using Data Cleaning and Deep Recurrent Neural Networks
by: Junjing Yang, et al.
Published: (2019-09-01)

Forecast of Large Earthquake Emergency Supplies Demand Based on PSO-BP Neural Network
by: Dan Chang, et al.
Published: (2022-01-01)

DeepTSP: Deep traffic state prediction model based on large-scale empirical data
by: Yang Liu, et al.
Published: (2021-12-01)

Electricity load forecasting using a deep neuralnetwork
by: Chawalit Jeenanunta
Published: (2019-03-01)

Multivariable NARX Based Neural Networks Models for Short-Term Water Level Forecasting
by: Jackson B. Renteria-Mena, et al.
Published: (2023-07-01)

Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training
by: Hyeonseong Choi, et al.
Published: (2021-11-01)

Forecasting the equity premium: Do deep neural network models work?
by: Xianzheng Zhou, et al.
Published: (2023-08-01)

A scoping review of deep neural networks for electric load forecasting
by: Nicolai Bo Vanting, et al.
Published: (2021-09-01)

An Ultrashort-Term Net Load Forecasting Model Based on Phase Space Reconstruction and Deep Neural Network
by: Fei Mei, et al.
Published: (2019-04-01)

Univariate and multivariate short-term solar power forecasting of 25MWac Pasir Gudang utility-scale photovoltaic system using LSTM approach
by: Noor Hasliza Abdul Rahman, et al.
Published: (2023-10-01)

Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression †
by: Gregory D. Merkel, et al.
Published: (2018-08-01)

Building Load Forecasting Using Deep Neural Network with Efficient Feature Fusion
by: Jinsong Wang, et al.
Published: (2021-01-01)

The Value of Large‐Scale Climatic Indices for Monthly Forecasting Severity of Widespread Flooding Using Dilated Convolutional Neural Networks
by: Larisa Tarasova, et al.
Published: (2024-02-01)

Large-scale systems : modeling and control /
by: 463941 Mohammad Jamshidi
Published: (1983)

Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical Research
by: Laurianne David, et al.
Published: (2019-11-01)

Multi-Scale Convolutional Neural Network With Time-Cognition for Multi-Step Short-Term Load Forecasting
by: Zhuofu Deng, et al.
Published: (2019-01-01)

Hourly electricity price forecast for short-and long-term, using deep neural networks
by: Dombi Gergely, et al.
Published: (2022-12-01)

Forecasting Daily Temperatures with Different Time Interval Data Using Deep Neural Networks
by: Sungjae Lee, et al.
Published: (2020-02-01)

Large scale systems : theory and applications 1983/
by: Straszak, A., et al.
Published: (1984)

Large-scale systems control and decision making /
by: Tamura, Hiroyuki, et al.
Published: (1990)

Model Management and Analytics for Large Scale Systems /
by: Tekinerdogan, Bedir, editor 648550, et al.
Published: (2019)

Large scale systems : theory and application 1986/
by: IFAC/IFORS Symposium on Large Scale Systems Theory and Application (4th : 1986 : Zurich, Switzerland), et al.
Published: (1987)

Research on characteristics and geological genesis of large-scale deep-seated landslide in tuff formation
by: Mengqi Xue, et al.
Published: (2024-02-01)

Short-Term Load Forecasting Using Artificial Neural Network in Indonesia
by: Sylvia Jane Annatje Sumarauw
Published: (2023-04-01)

Robust Sales forecasting Using Deep Learning with Static and Dynamic Covariates
by: Patrícia Ramos, et al.
Published: (2023-09-01)

DEEP ARTIFICIAL NEURAL NETWORKS FOR FORECASTING DEBIT VALUES FOR PRODUCTION WELLS
by: Ivan V. Evsyutkin, et al.
Published: (2020-11-01)

Particulate Matter Forecasting Using Different Deep Neural Network Topologies and Wavelets for Feature Augmentation
by: Stephanie Lima Jorge Galvão, et al.
Published: (2022-09-01)

Weather-Aware Long-Range Traffic Forecast Using Multi-Module Deep Neural Network
by: Seungyo Ryu, et al.
Published: (2020-03-01)

Solar power prediction based on Artificial Neural Network guided by feature selection for Large-scale Solar Photovoltaic Plant
by: Hanis Nasuha Amer, et al.
Published: (2023-11-01)

Drought Forecasting for Decision Makers Using Water Balance Analysis and Deep Neural Network
by: Ock-Jae Jang, et al.
Published: (2022-06-01)

Large-Scale Production of Lentiviral Vectors: Current Perspectives and Challenges
by: Eduardo Martínez-Molina, et al.
Published: (2020-11-01)

Application of Deep Neural Networks to Distribution System State Estimation and Forecasting
by: James P. Carmichael, et al.
Published: (2022-01-01)