Computational Intelligence and Neuroscience

Công bố khoa học tiêu biểu

* Dữ liệu chỉ mang tính chất tham khảo

Sắp xếp:  
Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations
Computational Intelligence and Neuroscience - Tập 2016 - Trang 1-9 - 2016
Vladimir M. Krasnopolsky, Sudhir Nadiga, Avichal Mehra, E. J. Bayler, David Behringer
A neural network (NN) technique to fill gaps in satellite data is introduced, linking satellite-derived fields of interest with other satellites andin situphysical observations. Satellite-derived “ocean color” (OC) data are used in this study because OC variability is primarily driven by biological processes related and correlated in complex, nonlinear relationsh...... hiện toàn bộ
Force Optimization of Elongated Undulating Fin Robot Using Improved PSO-Based CPG
Computational Intelligence and Neuroscience - Tập 2022 - Trang 1-11 - 2022
Van Dong Nguyen, Quang Duy Tran, Quoc Tuan Vu, Van Tu Duong, Huy Hung Nguyen, Thi Thom Hoang, Tan Tien Nguyen
Biorobotic fishes have a huge impact on the development of underwater devices due to both fast swimming speed and great maneuverability. In this paper, an enhanced CPG model is investigated for locomotion control of an elongated undulating fin robot inspired by black knife fish. The proposed CPG network includes sixteen coupled Hopf oscillators for gait generation to mimic fishlike swimmin...... hiện toàn bộ
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
Computational Intelligence and Neuroscience - Tập 2011 - Trang 1-9 - 2011
Robert Oostenveld, Pascal Fries, Eric Maris, Jan‐Mathijs Schoffelen
This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanc...... hiện toàn bộ
Design of Semiautomatic Digital Creation System for Electronic Music Based on Recurrent Neural Network
Computational Intelligence and Neuroscience - Tập 2022 - Trang 1-12 - 2022
Yonghui Duan, Jianping Wang
Semiautomated digital creation is increasingly important in the manipulation of electronic music. How to realize the learning of local effective features of audio data is a difficult point in the current research field. Based on recurrent neural network theory, this paper designs a semiautomatic digital creation system for electronic music for digital manipulation and genre classification....... hiện toàn bộ
Brain Connectivity Analysis: A Short Survey
Computational Intelligence and Neuroscience - Tập 2012 - Trang 1-21 - 2012
Elmar W. Lang, Ana Maria Tomé, Ingo R. Keck, J. M. Górriz, Carlos G. Puntonet
This short survey the reviews recent literature on brain connectivity studies. It encompasses all forms of static and dynamic connectivity whether anatomical, functional, or effective. The last decade has seen an ever increasing number of studies devoted to deduce functional or effective connectivity, mostly from functional neuroimaging experiments. Resting state conditions have become a d...... hiện toàn bộ
A Survey of Stimulation Methods Used in SSVEP-Based BCIs
Computational Intelligence and Neuroscience - Tập 2010 - Trang 1-12 - 2010
Danhua Zhu, Jordi Bieger, Gary Garcia‐Molina, Ronald M. Aarts
Brain-computer interface (BCI) systems based on the steady-state visual evoked potential (SSVEP) provide higher information throughput and require shorter training than BCI systems using other brain signals. To elicit an SSVEP, a repetitive visual stimulus (RVS) has to be presented to the user. The RVS can be rendered on a computer screen by alternating graphical patterns, or with external...... hiện toàn bộ
Computational Logistics for Container Terminal Handling Systems with Deep Learning
Computational Intelligence and Neuroscience - Tập 2021 Số 1 - 2021
Bin Li, Yuqing He
Container terminals are playing an increasingly important role in the global logistics network; however, the programming, planning, scheduling, and decision of the container terminal handling system (CTHS) all are provided with a high degree of nonlinearity, coupling, and complexity. Given that, a combination of computational logistics and deep learning, which is just about container termi...... hiện toàn bộ
Financial Time Series Prediction Using Elman Recurrent Random Neural Networks
Computational Intelligence and Neuroscience - Tập 2016 - Trang 1-14 - 2016
Jie Wang, Jun Wang, Fang Wen, Hongli Niu
In recent years, financial market dynamics forecasting has been a focus of economic research. To predict the price indices of stock markets, we developed an architecture which combined Elman recurrent neural networks with stochastic time effective function. By analyzing the proposed model with the linear regression, complexity invariant distance (CID), and multiscale CID (MCID) analysis me...... hiện toàn bộ
Influencing Factors of CO2 Emissions in Chinese Power Industry: A Study from the Production and Consumption Perspectives
Computational Intelligence and Neuroscience - Tập 2022 - Trang 1-13 - 2022
Qiang Liu, Chunmei Mao, Fan Tian
China’s huge regional differences are taken into consideration to study the influencing factors and their differences in CO2 emissions of the power industry from different regions. This study aimed to improve the efficiency of CO2 emission reduction policies. From the production and consumption perspectives, this study analyzes the influencing factors of CO2 emissions and utilizes the Loga...... hiện toàn bộ
Epileptic Seizure Prediction Using CSP and LDA for Scalp EEG Signals
Computational Intelligence and Neuroscience - Tập 2017 - Trang 1-11 - 2017
Turky N. Alotaiby, Saleh A. Alshebeili, Faisal M. Alotaibi, Saud R. Alrshoud
This paper presents a patient-specific epileptic seizure predication method relying on the common spatial pattern- (CSP-) based feature extraction of scalp electroencephalogram (sEEG) signals. Multichannel EEG signals are traced and segmented into overlapping segments for both preictal and interictal intervals. The features extracted using CSP are used for training a linear discriminant an...... hiện toàn bộ
Tổng số: 16   
  • 1
  • 2