List-Based Simulated Annealing Algorithm for Traveling Salesman Problem.

abstract：:Eye localization is a fundamental process in many facial analyses. In practical use, it is often challenged by illumination, head pose, facial expression, occlusion, and other factors. It remains great difficulty to achieve high accuracy with short prediction time and low training cost at the same time. This paper pre...

journal_title：Computational intelligence and neuroscience

authors： Li X,Dou Y,Niu X,Xu J,Xiao R

更新日期：2015-01-01 00:00:00

abstract：:Ensemble clustering can improve the generalization ability of a single clustering algorithm and generate a more robust clustering result by integrating multiple base clusterings, so it becomes the focus of current clustering research. Ensemble clustering aims at finding a consensus partition which agrees as much as po...

journal_title：Computational intelligence and neuroscience

authors： Wang Y,Liu X,Xiang L

更新日期：2017-01-01 00:00:00

abstract：:The purpose of this paper is to evaluate food taste, smell, and characteristics from consumers' online reviews. Several studies in food sensory evaluation have been presented for consumer acceptance. However, these studies need taste descriptive word lexicon, and they are not suitable for analyzing large number of eva...

journal_title：Computational intelligence and neuroscience

authors： Kim AY,Ha JG,Choi H,Moon H

更新日期：2018-01-22 00:00:00

abstract：:We propose a model to generate a group of artificial lives capable of coping with various environments which is equivalent to a set of requested task, and likely to show that the plays or hobbies are necessary for the group of individuals to maintain the coping capability with various changes of the environment as a w...

journal_title：Computational intelligence and neuroscience

authors： Tamura S,Inabayashi S,Hayakawa W,Yokouchi T,Mitsumoto H,Taketani H

更新日期：2012-01-01 00:00:00

abstract：:The cerebellum input stage has been known to perform combinatorial operations on input signals. In this paper, two types of mathematical models were used to reproduce the role of feed-forward inhibition and computation in the granular layer microcircuitry to investigate spike train processing. A simple spiking model a...

journal_title：Computational intelligence and neuroscience

authors： Medini C,Nair B,D'Angelo E,Naldi G,Diwakar S

更新日期：2012-01-01 00:00:00

abstract：:Grounded language acquisition is an important issue, particularly to facilitate human-robot interactions in an intelligent and effective way. The evolutionary and developmental language acquisition are two innovative and important methodologies for the grounding of language in cognitive agents or robots, the aim of wh...

journal_title：Computational intelligence and neuroscience

authors： Rasheed N,Amin SH

更新日期：2016-01-01 00:00:00

abstract：:The modification by polymers and nanomaterials can significantly improve different properties of asphalt. However, during the service life, the oxidation affects the constituents of modified asphalt and subsequently results in deviation from the desired properties. One of the important properties affected due to oxida...

journal_title：Computational intelligence and neuroscience

authors： Arifuzzaman M,Gazder U,Alam MS,Sirin O,Mamun AA

更新日期：2019-08-15 00:00:00

abstract：:Electroencephalograms (EEG) signals are of interest because of their relationship with physiological activities, allowing a description of motion, speaking, or thinking. Important research has been developed to take advantage of EEG using classification or predictor algorithms based on parameters that help to describe...

journal_title：Computational intelligence and neuroscience

authors： Aguilar Cruz KA,Zagaceta Álvarez MT,Palma Orozco R,Medel Juárez JJ

更新日期：2018-01-15 00:00:00

abstract：:We estimate cortical activity in normal subjects during the observation of TV commercials inserted within a movie by using high-resolution EEG techniques. The brain activity was evaluated in both time and frequency domains by solving the associate inverse problem of EEG with the use of realistic head models. In partic...

journal_title：Computational intelligence and neuroscience

authors： Astolfi L,Vecchiato G,De Vico Fallani F,Salinari S,Cincotti F,Aloise F,Mattia D,Marciani MG,Bianchi L,Soranzo R,Babiloni F

更新日期：2009-01-01 00:00:00

abstract：:The integration of machine learning techniques and metaheuristic algorithms is an area of interest due to the great potential for applications. In particular, using these hybrid techniques to solve combinatorial optimization problems (COPs) to improve the quality of the solutions and convergence times is of great inte...

journal_title：Computational intelligence and neuroscience

authors： García J,Moraga P,Valenzuela M,Crawford B,Soto R,Pinto H,Peña A,Altimiras F,Astorga G

更新日期：2019-09-16 00:00:00

abstract：:The purpose of this research is to analyse the relationship between nonlinear dynamic character and individuals' standing balance by the largest Lyapunov exponent, which is regarded as a metric for assessing standing balance. According to previous study, the largest Lyapunov exponent from centre of pressure time serie...

journal_title：Computational intelligence and neuroscience

authors： Liu K,Wang H,Xiao J,Taha Z

更新日期：2015-01-01 00:00:00

abstract：:Diabetic retinopathy (DR) is an eye disease that damages the blood vessels of the eye. DR causes blurred vision or it may lead to blindness if it is not detected in early stages. DR has five stages, i.e., 0 normal, 1 mild, 2 moderate, 3 severe, and 4 PDR. Conventionally, many hand-on projects of computer vision have b...

journal_title：Computational intelligence and neuroscience

authors： Jinfeng G,Qummar S,Junming Z,Ruxian Y,Khan FG

更新日期：2020-12-09 00:00:00

abstract：:Detection of lane-change behaviour is critical to driving safety, especially on highways. In this paper, we proposed a method and designed a learning-based detection model of lane-change behaviour in highway environment, which only needs the vehicle to be equipped with velocity and direction sensors or each section of...

journal_title：Computational intelligence and neuroscience

authors： Du L,Chen W,Pei Z,Zheng H,Fu S,Chen K,Wu D

更新日期：2020-09-30 00:00:00

abstract：:A novel 4-class single-trial brain computer interface (BCI) based on two (rather than four or more) binary linear discriminant analysis (LDA) classifiers is proposed, which is called a "parallel BCI." Unlike other BCIs where mental tasks are executed and classified in a serial way one after another, the parallel BCI u...

journal_title：Computational intelligence and neuroscience

authors： Geng T,Gan JQ,Dyson M,Tsui CS,Sepulveda F

更新日期：2008-01-01 00:00:00

abstract：:One important objective of urban traffic signal control is to reduce individual delay and improve safety for travelers in both private car and public bus transit. To achieve signal control optimization from the perspective of all users, this paper proposes a platoon-based adaptive signal control (PASC) strategy to pro...

journal_title：Computational intelligence and neuroscience

authors： Li N,Chen S,Zhu J,Sun DJ

更新日期：2020-06-01 00:00:00

abstract：:When analyzing neuron spike trains, it is always the problem of how to set the time bin. Bin width affects much to analyzed results of such as periodicity of the spike trains. Many approaches have been proposed to determine the bin setting. However, these bins are fixed through the analysis. In this paper, we propose ...

journal_title：Computational intelligence and neuroscience

authors： Tamura S,Miyoshi T,Sawai H,Mizuno-Matsumoto Y

更新日期：2012-01-01 00:00:00

abstract：:Neurodegenerative diseases that affect serious gait abnormalities include Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and Huntington disease (HD). These diseases lead to gait rhythm distortion that can be determined by stride time interval of footfall contact times. In this paper, we present a new m...

journal_title：Computational intelligence and neuroscience

authors： Klomsae A,Auephanwiriyakul S,Theera-Umpon N

更新日期：2018-06-13 00:00:00

abstract：:This paper presents a grammatical evolution (GE)-based methodology to automatically design third generation artificial neural networks (ANNs), also known as spiking neural networks (SNNs), for solving supervised classification problems. The proposal performs the SNN design by exploring the search space of three-layere...

journal_title：Computational intelligence and neuroscience

authors： López-Vázquez G,Ornelas-Rodriguez M,Espinal A,Soria-Alcaraz JA,Rojas-Domínguez A,Puga-Soberanes HJ,Carpio JM,Rostro-Gonzalez H

更新日期：2019-03-28 00:00:00

abstract：:Energy consumption forecasting (ECF) is an important policy issue in today's economies. An accurate ECF has great benefits for electric utilities and both negative and positive errors lead to increased operating costs. The paper proposes a semantic based genetic programming framework to address the ECF problem. In par...

journal_title：Computational intelligence and neuroscience

authors： Castelli M,Trujillo L,Vanneschi L

更新日期：2015-01-01 00:00:00

abstract：:The brain-computer interface (BCI) plays an important role in assisting patients with amyotrophic lateral sclerosis (ALS) to enable them to participate in communication and entertainment. In this study, a novel channel projection-based canonical correlation analysis (CP-CCA) target identification method for steady-sta...

journal_title：Computational intelligence and neuroscience

authors： Gao Q,Zhang Y,Wang Z,Dong E,Song X,Song Y

更新日期：2019-12-16 00:00:00

abstract：:It is well known that the evaluation of a product from the shelf considers the simultaneous cerebral and emotional evaluation of the different qualities of the product such as its colour, the eventual images shown, and the envelope's texture (hereafter all included in the term "product experience"). However, the measu...

journal_title：Computational intelligence and neuroscience

authors： Modica E,Cartocci G,Rossi D,Martinez Levy AC,Cherubino P,Maglione AG,Di Flumeri G,Mancini M,Montanari M,Perrotta D,Di Feo P,Vozzi A,Ronca V,Aricò P,Babiloni F

更新日期：2018-09-24 00:00:00

abstract：:Cat Swarm Optimization (CSO) algorithm was put forward in 2006. Despite a faster convergence speed compared with Particle Swarm Optimization (PSO) algorithm, the application of CSO is greatly limited by the drawback of "premature convergence," that is, the possibility of trapping in local optimum when dealing with non...

journal_title：Computational intelligence and neuroscience

authors： Nie X,Wang W,Nie H

更新日期：2017-01-01 00:00:00

abstract：:We present a framework for inferring functional brain state from electrophysiological (MEG or EEG) brain signals. Our approach is adapted to the needs of functional brain imaging rather than EEG-based brain-computer interface (BCI). This choice leads to a different set of requirements, in particular to the demand for ...

journal_title：Computational intelligence and neuroscience

authors： Zhdanov A,Hendler T,Ungerleider L,Intrator N

更新日期：2007-01-01 00:00:00

abstract：:This paper brings forth a learning-based visual saliency model method for detecting diagnostic diabetic macular edema (DME) regions of interest (RoIs) in retinal image. The method introduces the cognitive process of visual selection of relevant regions that arises during an ophthalmologist's image examination. To reco...

journal_title：Computational intelligence and neuroscience

authors： Zou X,Zhao X,Yang Y,Li N

更新日期：2016-01-01 00:00:00

abstract：:This paper presents the use of linear and nonlinear multivariable models as tools to support training process of race walkers. These models are calculated using data collected from race walkers' training events and they are used to predict the result over a 3 km race based on training loads. The material consists of 1...

journal_title：Computational intelligence and neuroscience

authors： Wiktorowicz K,Przednowek K,Lassota L,Krzeszowski T

更新日期：2015-01-01 00:00:00

abstract：:Design concepts and algorithms were developed to address the eye tracking analysis issues that arise when (1) participants interrogate dynamic multielement objects that can overlap on the display and (2) visual angle error of the eye trackers is incapable of providing exact eye fixation coordinates. These issues were ...

journal_title：Computational intelligence and neuroscience

authors： Kang Z,Mandal S,Crutchfield J,Millan A,McClung SN

更新日期：2016-01-01 00:00:00

abstract：:We describe a set of complementary EEG data collection and processing tools recently developed at the Swartz Center for Computational Neuroscience (SCCN) that connect to and extend the EEGLAB software environment, a freely available and readily extensible processing environment running under Matlab. The new tools incl...

journal_title：Computational intelligence and neuroscience

authors： Delorme A,Mullen T,Kothe C,Akalin Acar Z,Bigdely-Shamlo N,Vankov A,Makeig S

更新日期：2011-01-01 00:00:00

abstract：:In recent years the spatial resolutions of remote sensing images have been improved greatly. However, a higher spatial resolution image does not always lead to a better result of automatic scene classification. Visual attention is an important characteristic of the human visual system, which can effectively help to cl...

journal_title：Computational intelligence and neuroscience

authors： Li L,Xu T,Chen Y

更新日期：2017-01-01 00:00:00

abstract：:The inversion design approach is a very useful tool for the complex multiple-input-multiple-output nonlinear systems to implement the decoupling control goal, such as the airplane model and spacecraft model. In this work, the flight control law is proposed using the neural-based inversion design method associated with...

journal_title：Computational intelligence and neuroscience

authors： Liu Y,Li Y,Jin F

更新日期：2017-01-01 00:00:00

abstract：:Cloud workflow system is a kind of platform service based on cloud computing. It facilitates the automation of workflow applications. Between cloud workflow system and its counterparts, market-oriented business model is one of the most prominent factors. The optimization of task-level scheduling in cloud workflow syst...

journal_title：Computational intelligence and neuroscience

authors： Li X,Xu J,Yang Y

更新日期：2015-01-01 00:00:00