A Time-Series Water Level Forecasting Model Based on Imputation and Variable Selection Method.

abstract：:When entering a synapse, presynaptic pulse trains are filtered according to the recent pulse history at the synapse and also with respect to their own pulse time course. Various behavioral models have tried to reproduce these complex filtering properties. In particular, the quantal model of neurotransmitter release ha...

journal_title：Computational intelligence and neuroscience

authors： Mayr C,Partzsch J,Schüffny R

更新日期：2009-01-01 00:00:00

abstract：:In recent years, ensemble classification methods have been widely investigated in both industry and literature in the field of machine learning and artificial intelligence. The main advantage of this approach is to benefit from a set of classifiers instead of using a single classifier with the aim of improving the pre...

journal_title：Computational intelligence and neuroscience

authors： Ostvar N,Eftekhari Moghadam AM

更新日期：2020-12-14 00:00:00

abstract：:With the development of society, more and more attention has been paid to cultural festivals. In addition to the government's emphasis, the increasing consumption in festivals also proves that cultural festivals are playing increasingly important role in public life. Therefore, it is very vital to grasp the public fes...

journal_title：Computational intelligence and neuroscience

authors： Yuan H,Song Y,Hu J,Ma Y

更新日期：2020-08-07 00:00:00

abstract：:Long and tedious calibration time hinders the development of motor imagery- (MI-) based brain-computer interface (BCI). To tackle this problem, we use a limited labelled set and a relatively large unlabelled set from the same subject for training based on the transductive support vector machine (TSVM) framework. We fi...

journal_title：Computational intelligence and neuroscience

authors： Xu Y,Hua J,Zhang H,Hu R,Huang X,Liu J,Guo F

更新日期：2019-11-25 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：:Software effort estimation plays a critical role in project management. Erroneous results may lead to overestimating or underestimating effort, which can have catastrophic consequences on project resources. Machine-learning techniques are increasingly popular in the field. Fuzzy logic models, in particular, are widely...

journal_title：Computational intelligence and neuroscience

authors： Nassif AB,Azzeh M,Idri A,Abran A

更新日期：2019-02-20 00:00:00

abstract：:To study the relationship between brain network and shooting performance during shooting aiming, we collected electroencephalogram (EEG) signals from 40 skilled shooters during rifle shooting and calculated the EEG functional coupling, functional brain network topology, and correlation coefficients between these EEG c...

journal_title：Computational intelligence and neuroscience

authors： Gong A,Liu J,Jiang C,Fu Y

更新日期：2018-11-11 00:00:00

abstract：:Object tracking based on sparse representation has given promising tracking results in recent years. However, the trackers under the framework of sparse representation always overemphasize the sparse representation and ignore the correlation of visual information. In addition, the sparse coding methods only encode the...

journal_title：Computational intelligence and neuroscience

authors： Yang H,Qu S

更新日期：2016-01-01 00:00:00

abstract：:Characterization of air traffic controllers' (ATCs') visual scanning strategies is a challenging issue due to the dynamic movement of multiple aircraft and increasing complexity of scanpaths (order of eye fixations and saccades) over time. Additionally, terminologies and methods are lacking to accurately characterize ...

journal_title：Computational intelligence and neuroscience

authors： McClung SN,Kang Z

更新日期：2016-01-01 00:00:00

abstract：:Blast furnace (BF) is the main method of modern iron-making. Ensuring the stability of the BF conditions can effectively improve the quality and output of iron and steel. However, operations of BF depend on mainly human experience, which causes two problems: (1) human experience is not objective and is difficult to in...

journal_title：Computational intelligence and neuroscience

authors： Han Y,Yu D,Yin C,Zhao Q

更新日期：2020-05-11 00:00:00

abstract：:The use of wearable devices to study gait and postural control is a growing field on neurodegenerative disorders such as Alzheimer's disease (AD). In this paper, we investigate if machine-learning classifiers offer the discriminative power for the diagnosis of AD based on postural control kinematics. We compared Suppo...

journal_title：Computational intelligence and neuroscience

authors： Costa L,Gago MF,Yelshyna D,Ferreira J,David Silva H,Rocha L,Sousa N,Bicho E

更新日期：2016-01-01 00:00:00

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：:Rehabilitation training is essential for motor dysfunction patients, and the training through their subjective motion intention, comparing to passive training, is more conducive to rehabilitation. This study proposes a method to identify motion intention of different walking states under the normal environment, by usi...

journal_title：Computational intelligence and neuroscience

authors： Jin H,Li C,Xu J

更新日期：2018-10-17 00:00:00

abstract：:This paper proposes a method to translate human EEG into music, so as to represent mental state by music. The arousal levels of the brain mental state and music emotion are implicitly used as the bridge between the mind world and the music. The arousal level of the brain is based on the EEG features extracted mainly b...

journal_title：Computational intelligence and neuroscience

authors： Wu D,Li C,Yin Y,Zhou C,Yao D

更新日期：2010-01-01 00:00:00

abstract：:We report on tests with a mind typing paradigm based on a P300 brain-computer interface (BCI) on a group of amyotrophic lateral sclerosis (ALS), middle cerebral artery (MCA) stroke, and subarachnoid hemorrhage (SAH) patients, suffering from motor and speech disabilities. We investigate the achieved typing accuracy giv...

journal_title：Computational intelligence and neuroscience

authors： Manyakov NV,Chumerin N,Combaz A,Van Hulle MM

更新日期：2011-01-01 00:00:00

abstract：:Understanding video files is a challenging task. While the current video understanding techniques rely on deep learning, the obtained results suffer from a lack of real trustful meaning. Deep learning recognizes patterns from big data, leading to deep feature abstraction, not deep understanding. Deep learning tries to...

journal_title：Computational intelligence and neuroscience

authors： Ghozia A,Attiya G,Adly E,El-Fishawy N

更新日期：2020-12-23 00:00:00

abstract：:In view of the evaluation and decision-making problem of human-machine interface layout design for cabin, the operating comfort prediction model is proposed based on GEP (Gene Expression Programming), using operating comfort to evaluate layout scheme. Through joint angles to describe operating posture of upper limb, t...

journal_title：Computational intelligence and neuroscience

authors： Deng L,Wang G,Chen B

更新日期：2015-01-01 00:00:00

abstract：:When some attributes of a formal context can be decomposed into some subattributes a model of layered concept lattice to improve the efficiency of building concept lattice with complex structure attribute data is studied, the relationship between concept lattice and layered concept is discussed. Two algorithms are pro...

journal_title：Computational intelligence and neuroscience

authors： Wu X,Zhang J,Zhong J

更新日期：2020-06-11 00:00:00

abstract：:The process of creating nonphotorealistic rendering images and animations can be enjoyable if a useful method is involved. We use an evolutionary algorithm to generate painterly styles of images. Given an input image as the reference target, a cloud model-based evolutionary algorithm that will rerender the target imag...

journal_title：Computational intelligence and neuroscience

authors： Wu T

更新日期：2018-02-19 00:00:00

abstract：:In specific regions of the central nervous system (CNS), gap junctions have been shown to participate in neuronal synchrony. Amongst the CNS regions identified, some populations of brainstem motoneurons are known to be coupled by gap junctions. The application of various gap junction blockers to these motoneuron popul...

journal_title：Computational intelligence and neuroscience

authors： Memelli H,Horn KG,Wittie LD,Solomon IC

更新日期：2012-01-01 00:00:00

abstract：:We propose an improved algorithm, for a multiswarm particle swarm optimization with transfer of the best particle called BMPSO. In the proposed algorithm, we introduce parasitism into the standard particle swarm algorithm (PSO) in order to balance exploration and exploitation, as well as enhancing the capacity for glo...

journal_title：Computational intelligence and neuroscience

authors： Wei XP,Zhang JX,Zhou DS,Zhang Q

更新日期：2015-01-01 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：:Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental plant species in Beijing Forestry University campus. A 26-layer deep lea...

journal_title：Computational intelligence and neuroscience

authors： Sun Y,Liu Y,Wang G,Zhang H

更新日期：2017-01-01 00:00:00

abstract：:Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential solution to home biomonitoring for the elderly. Through our previous studies, a mobile robot system that is able to track a subject and identify his daily living activities has been developed...

journal_title：Computational intelligence and neuroscience

authors： Dorronzoro Zubiete E,Nakahata K,Imamoglu N,Sekine M,Sun G,Gomez I,Yu W

更新日期：2016-01-01 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：:Brain atrophy in mild cognitive impairment (MCI) and Alzheimer's disease (AD) are difficult to demarcate to assess the progression of AD. This study presents a statistical framework on the basis of MRI volumes and neuropsychological scores. A feature selection technique using backward stepwise linear regression togeth...

journal_title：Computational intelligence and neuroscience

authors： Goryawala M,Zhou Q,Barker W,Loewenstein DA,Duara R,Adjouadi M

更新日期：2015-01-01 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：:Rotation Forest is an ensemble learning approach achieving better performance comparing to Bagging and Boosting through building accurate and diverse classifiers using rotated feature space. However, like other conventional classifiers, Rotation Forest does not work well on the imbalanced data which are characterized ...

journal_title：Computational intelligence and neuroscience

authors： Guo H,Diao X,Liu H

更新日期：2018-11-01 00:00:00

abstract：:This study introduces a supercapacitor hybrid energy storage system in a wind-solar hybrid power generation system, which can remarkably increase the energy storage capacity and output power of the system. In the specific solution, this study combines the distributed power generation system and the hybrid energy stora...

journal_title：Computational intelligence and neuroscience

authors： Zhu R,Zhao AL,Wang GC,Xia X,Yang Y

更新日期：2020-08-28 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