Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach.

abstract：:We propose a biologically motivated brain-inspired single neuron perceptron (SNP) with universal approximation and XOR computation properties. This computational model extends the input pattern and is based on the excitatory and inhibitory learning rules inspired from neural connections in the human brain's nervous sy...

journal_title：Computational intelligence and neuroscience

authors： Lotfi E,Akbarzadeh-T MR

更新日期：2014-01-01 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：: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：:An integration of both the Hebbian-based and reinforcement learning (RL) rules is presented for dynamic synapses. The proposed framework permits the Hebbian rule to update the hidden synaptic model parameters regulating the synaptic response rather than the synaptic weights. This is performed using both the value and ...

journal_title：Computational intelligence and neuroscience

authors： El-Laithy K,Bogdan M

更新日期：2011-01-01 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：: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：:The high frequency of red-light running and complex driving behaviors at the yellow onset at intersections cannot be explained solely by the dilemma zone and vehicle kinematics. In this paper, the author presented a red-light running prevention system which was based on artificial neural networks (ANNs) to approximate...

journal_title：Computational intelligence and neuroscience

authors： Li P,Li Y,Guo X

更新日期：2014-01-01 00:00:00

abstract：:Recent theoretical and technological advances in neuroimaging techniques now allow brain electrical activity to be recorded using affordable and user-friendly equipment for nonscientist end-users. An increasing number of educators and artists have begun using electroencephalogram (EEG) to control multimedia and live a...

journal_title：Computational intelligence and neuroscience

authors： Grandchamp R,Delorme A

更新日期：2016-01-01 00:00:00

abstract：:Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to inherent characteristics of electroencephalography signals, accurate and real-time multiclass classification is always challenging. In order to solve this problem, a multiclass posterior probability solution for twin SV...

journal_title：Computational intelligence and neuroscience

authors： She Q,Ma Y,Meng M,Luo Z

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：:The ANN method has been applied by means of multilayered feedforward neural networks (MLFNs) by using different macroeconomic variables such as the exchange rate of USD/TRY, gold prices, and the Borsa Istanbul (BIST) 100 index based on monthly data over the period of January 2000 and September 2014 for Turkey. Vector ...

journal_title：Computational intelligence and neuroscience

authors： Aydin AD,Caliskan Cavdar S

更新日期：2015-01-01 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：:Most EEG phase synchrony measures are of bivariate nature. Those that are multivariate focus on producing global indices of the synchronization state of the system. Thus, better descriptions of spatial and temporal local interactions are still in demand. A framework for characterization of phase synchrony relationship...

journal_title：Computational intelligence and neuroscience

authors： Porta-Garcia MA,Valdes-Cristerna R,Yanez-Suarez O

更新日期：2018-03-21 00:00:00

abstract：:Critical gap is an important parameter used to calculate the capacity and delay of minor road in gap acceptance theory of unsignalized intersections. At an unsignalized intersection with two one-way traffic flows, it is assumed that two events are independent between vehicles' arrival of major stream and vehicles' arr...

journal_title：Computational intelligence and neuroscience

authors： Guo RJ,Wang XJ,Wang WX

更新日期：2014-01-01 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：:High-dimensional large sample data sets, between feature variables and between samples, may cause some correlative or repetitive factors, occupy lots of storage space, and consume much computing time. Using the Elman neural network to deal with them, too many inputs will influence the operating efficiency and recognit...

journal_title：Computational intelligence and neuroscience

authors： Jia W,Zhao D,Shen T,Tang Y,Zhao Y

更新日期：2014-01-01 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：:The Mahalanobis Taguchi System (MTS) is considered one of the most promising binary classification algorithms to handle imbalance data. Unfortunately, MTS lacks a method for determining an efficient threshold for the binary classification. In this paper, a nonlinear optimization model is formulated based on minimizing...

journal_title：Computational intelligence and neuroscience

authors： El-Banna M

更新日期：2017-01-01 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：:Recent findings suggest that specific neural correlates for the key elements of basic emotions do exist and can be identified by neuroimaging techniques. In this paper, electroencephalogram (EEG) is used to explore the markers for video-induced emotions. The problem is approached from a classifier perspective: the fea...

journal_title：Computational intelligence and neuroscience

authors： Kortelainen J,Väyrynen E,Seppänen T

更新日期：2015-01-01 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：:EEG-controlled gaming applications range widely from strictly medical to completely nonmedical applications. Games can provide not only entertainment but also strong motivation for practicing, thereby achieving better control with rehabilitation system. In this paper we present real-time control of video game with eye...

journal_title：Computational intelligence and neuroscience

authors： Belkacem AN,Saetia S,Zintus-art K,Shin D,Kambara H,Yoshimura N,Berrached N,Koike Y

更新日期：2015-01-01 00:00:00

abstract：:The state observer for dynamic links in complex dynamical networks (CDNs) is investigated by using the adaptive method whether the networks are undirected or directed. In this paper, a complete network model is proposed, which is composed of two coupled subsystems called nodes subsystem and links subsystem, respective...

journal_title：Computational intelligence and neuroscience

authors： Gao Z,Xiong J,Zhong J,Liu F,Liu Q

更新日期：2020-10-21 00:00:00

abstract：:This paper proposes an artificial immune network based on cloud model (AINet-CM) for complex function optimization problems. Three key immune operators-cloning, mutation, and suppression-are redesigned with the help of the cloud model. To be specific, an increasing half cloud-based cloning operator is used to adjust t...

journal_title：Computational intelligence and neuroscience

authors： Wang M,Feng S,Li J,Li Z,Xue Y,Guo D

更新日期：2017-01-01 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：:In the conceptual design stage, inspirational sources play an important role in designers' creative thinking. This paper proposes a retrieval method for semantic-based inspirational sources, which helps designers obtain inspirational images in the conceptual design stage of emotional design. The core principle involve...

journal_title：Computational intelligence and neuroscience

authors： Du J,Li Y,Ma J,Xiong Y,Li W

更新日期：2018-11-08 00:00:00

abstract：:Stress is categorized as a condition of mental strain or pressure approaches because of upsetting or requesting conditions. There are various sources of stress initiation. Researchers consider human cerebrum as the primary wellspring of stress. To study how each individual encounters stress in different forms, researc...

journal_title：Computational intelligence and neuroscience

authors： Gupta R,Alam MA,Agarwal P

更新日期：2020-08-01 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：: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：: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