Computational Intelligence and Neuroscience
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Force Optimization of Elongated Undulating Fin Robot Using Improved PSO-Based CPGBiorobotic 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
Computational Intelligence and Neuroscience - Tập 2022 - Trang 1-11 - 2022
Harmony Search Method: Theory and ApplicationsThe Harmony Search (HS) method is an emerging metaheuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory and applications of the HS algorithm are first described and reviewed. Several typical variants of the original HS are next briefly explained. As an example of case study, a modified H... ... hiện toàn bộ
Computational Intelligence and Neuroscience - Tập 2015 - Trang 1-10 - 2015
Ragu: A Free Tool for the Analysis of EEG and MEG Event-Related Scalp Field Data Using Global Randomization StatisticsWe present a program (Ragu; Randomization Graphical User interface) for statistical analyses of multichannel event-related EEG and MEG experiments. Based on measures of scalp field differences including all sensors, and using powerful, assumption-free randomization statistics, the program yields robust, physiologically meaningful conclusions based on the entire, untransformed, and unbiased... ... hiện toàn bộ
Computational Intelligence and Neuroscience - Tập 2011 - Trang 1-14 - 2011
Spatiotemporal Analysis of Multichannel EEG: CARTOOLThis paper describes methods to analyze the brain's electric fields recorded with multichannel Electroencephalogram (EEG) and demonstrates their implementation in the software CARTOOL. It focuses on the analysis of the spatial properties of these fields and on quantitative assessment of changes of field topographies across time, experimental conditions, or populations. Topographic analyses... ... hiện toàn bộ
Computational Intelligence and Neuroscience - Tập 2011 - Trang 1-15 - 2011
A Survey of Stimulation Methods Used in SSVEP-Based BCIsBrain-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 Intelligence and Neuroscience - Tập 2010 - Trang 1-12 - 2010
Diagnosis of Asthma Based on Routine Blood Biomarkers Using Machine LearningIntelligent medical diagnosis has become common in the era of big data, although this technique has been applied to asthma only in limited contexts. Using routine blood biomarkers to identify asthma patients would make clinical diagnosis easier to implement and would enhance research of key asthma variables through data mining techniques. We used routine blood data from healthy individuals... ... hiện toàn bộ
Computational Intelligence and Neuroscience - Tập 2020 - Trang 1-8 - 2020
Financial Time Series Prediction Using Elman Recurrent Random Neural NetworksIn 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
Computational Intelligence and Neuroscience - Tập 2016 - Trang 1-14 - 2016
Design of Semiautomatic Digital Creation System for Electronic Music Based on Recurrent Neural NetworkSemiautomated 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
Computational Intelligence and Neuroscience - Tập 2022 - Trang 1-12 - 2022
Deep Learning for Computer Vision: A Brief ReviewOver the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases. This review paper provides a brief overview of some of the most significant deep learning schemes used in computer vision problems, that is, Convolutional Neural Networks, Deep Boltzmann ... ... hiện toàn bộ
Computational Intelligence and Neuroscience - Tập 2018 - Trang 1-13 - 2018
Influencing Factors of CO2 Emissions in Chinese Power Industry: A Study from the Production and Consumption PerspectivesChina’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
Computational Intelligence and Neuroscience - Tập 2022 - Trang 1-13 - 2022
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