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EEG signals classifications of motor imagery using adaptive neuro-fuzzy inference system and interval type-2 fuzzy system 基于自适应神经模糊推理系统和区间2型模糊系统的运动意象脑电信号分类
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2017-05-24 DOI: 10.1504/IJISTA.2017.10005101
Shereen A. El-aal, R. Ramadan, N. Ghali
{"title":"EEG signals classifications of motor imagery using adaptive neuro-fuzzy inference system and interval type-2 fuzzy system","authors":"Shereen A. El-aal, R. Ramadan, N. Ghali","doi":"10.1504/IJISTA.2017.10005101","DOIUrl":"https://doi.org/10.1504/IJISTA.2017.10005101","url":null,"abstract":"Brain computer interface (BCI) techniques are used to help disabled people to translate brain signals to control commands imitating specific human thinking based on electroencephalography (EEG) signal processing. The paper tries to accurately classify motor imagery imagination tasks, e.g., left and right hand movement. The paper utilises different methods for such classification including: (1) adaptive neuro fuzzy inference system (ANFIS); (2) K-nearest neighbour (KNN); (3) linear discriminant analysis (LDA) and (4) interval Type-2 fuzzy system (IT2-FS) classifiers. In addition, with ANFIS approach, different clustering methods are examined such as Subtractive clustering, fuzzy C-means clustering and K-means clustering. At the same time, subtractiveType-2 clustering is applied to the received signals. The paper focuses on three different features which are AR coefficients, Band Power Frequency, and common spatial pattern (CSP). The classification accuracies with two optimal channels C3 and C4 are investigated.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117270888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Maximum-weighted tree matching problem: a novel discrete invasive weed optimisation algorithm 最大加权树匹配问题:一种新的离散入侵杂草优化算法
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2017-05-24 DOI: 10.1504/IJISTA.2017.10005100
M. Zandieh, E. Shokrollahpour, M. Bagher
{"title":"Maximum-weighted tree matching problem: a novel discrete invasive weed optimisation algorithm","authors":"M. Zandieh, E. Shokrollahpour, M. Bagher","doi":"10.1504/IJISTA.2017.10005100","DOIUrl":"https://doi.org/10.1504/IJISTA.2017.10005100","url":null,"abstract":"This paper attempts to solve maximum-weighted tree matching problem (MWTMP). In this type of assignment problem, there are k different tasks to be accomplished and a number of workers/groups. Any worker/group can do any job, with some given profit. The problem is to assign the jobs to workers/groups with the aim of maximising the profit of assignments. This paper presents a novel discrete population-based algorithm, discrete invasive weed optimisation (DIWO) to solve MWTMP. This algorithm is a stochastic numerical algorithm and inspired by weed colonisation trying to find suitable place for growth and reproduction. The performance of the proposed method is examined over benchmarks from the literature and compared to the best algorithm introduced before. Computational results demonstrate the efficiency and robustness of DIWO.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"86 24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126532175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On the fusion of regression and neural network methods 回归与神经网络方法的融合
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2016-06-21 DOI: 10.1504/IJISTA.2016.078357
A. Pwasong, S. Sathasivam
{"title":"On the fusion of regression and neural network methods","authors":"A. Pwasong, S. Sathasivam","doi":"10.1504/IJISTA.2016.078357","DOIUrl":"https://doi.org/10.1504/IJISTA.2016.078357","url":null,"abstract":"In this paper, a cascade forward neural network model and a quadratic regression model are fused together to form a hybrid model that was applied on the daily crude oil production data of the Nigerian National Petroleum Corporation (NNPC) to forecast the daily crude oil production of the NNPC. The fusion was made possible by the Bayesian model averaging technique, which was used to obtain a combined forecast from the two separate methods, that is, the cascade forward backpropagation neural network method and the quadratic regression method. The model resulting from the fusion was applied on the difference series. The results indicate that the combined forecast have better forecasting performance greater than the standalone methods on the difference series based on the mean square error sense. The root mean square error (RMSE) and the mean absolute error (MAE) were applied to ascertain the assertion that the combined forecast has better forecasting performance greater than the standaloneforecast. The analy...","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114151593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A variable neighbourhood search structure based-genetic algorithm for combinatorial optimisation problems 一种基于可变邻域搜索结构的组合优化遗传算法
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2016-05-01 DOI: 10.1504/IJISTA.2016.076494
N. Bouhmala
{"title":"A variable neighbourhood search structure based-genetic algorithm for combinatorial optimisation problems","authors":"N. Bouhmala","doi":"10.1504/IJISTA.2016.076494","DOIUrl":"https://doi.org/10.1504/IJISTA.2016.076494","url":null,"abstract":"In this paper, a variable-neighbourhood-genetic-based-algorithm is proposed for the MAX-SAT problem. Most of the work published earlier on variable neighbourhood search VNS starts from the first neighbourhood and moves on to higher neighbourhoods without controlling and adapting the ordering of neighbourhood structures. The order in which the neighbourhood structures have been proposed during the search process in this work enables the genetic algorithm with a better mechanism for performing diversification and intensification. A set of benchmark problem instances is used to compare the effectiveness of the proposed algorithm against the standard genetic algorithm. We also report promising results when the proposed algorithm is compared with state-of-the-art solvers.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131855641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Feature selection for phishing detection: a review of research 网络钓鱼检测的特征选择:研究综述
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2016-05-01 DOI: 10.1504/IJISTA.2016.076495
Hiba Zuhair Zeydan, A. Selamat, M. Salleh
{"title":"Feature selection for phishing detection: a review of research","authors":"Hiba Zuhair Zeydan, A. Selamat, M. Salleh","doi":"10.1504/IJISTA.2016.076495","DOIUrl":"https://doi.org/10.1504/IJISTA.2016.076495","url":null,"abstract":"Web services motivate phishers to evolve more deceptive websites as their never-ending threats to users. This intricate challenge enforces researchers to develop more proficient phishing detection approaches that incorporate hybrid features, machine learning classifiers, and feature selection methods. However, these detection approaches remain incompetent in classification performance over the vast web. This is attributed to the limited selection of the best features from the massive number of hybrid ones, and to the variant outcomes of applied feature selection methods in the realistic condition. In this topic, this paper surveys prominent researches, highlights their limitations, and emphasises on how they could be improved to escalate detection performance. This survey restates additional peculiarities to promote certain facets of the current research trend with the hope to help researchers on how to develop detection approaches and obtain the best quality outcomes of feature selection.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125662749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 26
Stability enhancement with SSSC-based controller design in presence of non-linear voltage-dependent load 非线性电压相关负载下基于sssc的控制器稳定性增强设计
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2016-05-01 DOI: 10.1504/IJISTA.2016.076499
S. K. Mohapatra, S. Panda
{"title":"Stability enhancement with SSSC-based controller design in presence of non-linear voltage-dependent load","authors":"S. K. Mohapatra, S. Panda","doi":"10.1504/IJISTA.2016.076499","DOIUrl":"https://doi.org/10.1504/IJISTA.2016.076499","url":null,"abstract":"The main objective of this paper is to investigate the power system stability improvement by tuning of static synchronous series compensator SSSC-based controllers in presence of non-linear voltage-dependent loads. Modern heuristic optimisation techniques such as the gravitational search algorithm GSA, particle swarm optimisation and differential evolution algorithm are employed for the purposed system to find out the optimal controller parameters. The performance of these optimisation techniques have been compared and analysed. The performance of the designed controllers has been evaluated under different disturbances and load parameters for both single and multi-machine power system. The effectiveness and robustness of the proposed controller are verified by changing the load parameters of voltage-dependent loads and type of disturbance. It is observed that when constant impedance load is considered in the proposed test systems, the stability of the power system is better when compared with that with constant power and constant current loads.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133624044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Multi-objective quantum inspired Cuckoo search algorithm and multi-objective bat inspired algorithm for the web service composition problem web服务组合问题的多目标量子启发布谷鸟搜索算法和多目标蝙蝠启发算法
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2016-05-01 DOI: 10.1504/IJISTA.2016.076493
Serial Rayene Boussalia, A. Chaoui, A. Hurault, Meriem Ouederni, P. Quéinnec
{"title":"Multi-objective quantum inspired Cuckoo search algorithm and multi-objective bat inspired algorithm for the web service composition problem","authors":"Serial Rayene Boussalia, A. Chaoui, A. Hurault, Meriem Ouederni, P. Quéinnec","doi":"10.1504/IJISTA.2016.076493","DOIUrl":"https://doi.org/10.1504/IJISTA.2016.076493","url":null,"abstract":"One of the most interesting challenges introduced by web services is the automatic web service composition design. The goal is to obtain an optimal web service composition by combining existing ones. In this paper two optimisation methods are proposed to design the best composition, a multi-objective quantum inspired Cuckoo search algorithm and a multi-objective bat inspired algorithm. The particularity of the approach is that the composition solution is gradually built using one of the two algorithms starting from the user request. Another particularity is that two optimisation criteria are considered, the quality of service and the semantic distance. The multi-criteria selection is handled by considering the Pareto front which ensures that no criteria can be improved without degrading another one. A prototype has been realised and applied to a text translation case study. The obtained results from the experimentations are encouraging and proves the feasibility and effectiveness of the approach.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124691541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Hybrid decision support system using PLSR-fuzzy model for GSM-based site-specific irrigation notification and control in precision agriculture 基于plsr -模糊模型的精准农业定点灌溉通知与控制混合决策支持系统
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2016-04-01 DOI: 10.1504/IJISTA.2016.076101
A. G. Mohapatra, S. Lenka
{"title":"Hybrid decision support system using PLSR-fuzzy model for GSM-based site-specific irrigation notification and control in precision agriculture","authors":"A. G. Mohapatra, S. Lenka","doi":"10.1504/IJISTA.2016.076101","DOIUrl":"https://doi.org/10.1504/IJISTA.2016.076101","url":null,"abstract":"In this paper, a partial least square regression PLSR and fuzzy-logic based smart decision support system DSS for crop-specific irrigation notification and control in precision agriculture is proposed, and this can be implemented in farm land, green-house and poly-house. The proposed DSS model continuously acquires real-time soil and environmental data using Zigbee wireless sensor network WSN with WiFi gateway developed during this work. The collected data are used to predict hourly soil moisture content MC variation and required evapotranspiration to control farm irrigation by utilising fuzzy logic-based weather model. A comparative analysis of soil MC variations is also performed by calculating root mean square error RMSE, R-squared error RSE, mean squared error MSE, ratio of performance to deviation RPD and algorithm running time. Cropwise evapotranspiration is also calculated using Blaney-Criddle method which is attached to the proposed DSS model by taking weather, soil, water and crop data into considerations.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124783488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Scalable fault models for diagnosis of synchronous generators 同步发电机故障诊断的可扩展故障模型
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2016-04-01 DOI: 10.1504/IJISTA.2016.076103
R. Gopinath, C. Kumar, K. Ramachandran
{"title":"Scalable fault models for diagnosis of synchronous generators","authors":"R. Gopinath, C. Kumar, K. Ramachandran","doi":"10.1504/IJISTA.2016.076103","DOIUrl":"https://doi.org/10.1504/IJISTA.2016.076103","url":null,"abstract":"In this paper, we experiment with a small working model SWM, where we can inject faults and learn the intelligence about the system, then scale up this fault models to monitor the condition of an actual/complex system, without injecting faults in the actual system. We refer to this approach as scalable fault models. We check the effectiveness of our approach using 3 kVA and 5 kVA synchronous generators to emulate the behaviour of SWM and actual system, respectively. We linearise the features from the SWM and actual system in a higher-dimensional space using locality constrained linear coding LLC to make them linearly separable. Subsequently, the system-independent features are selected using principal component analysis PCA to make the fault models robust across the systems. Support vector machine SVM is used as a back-end classifier. Experiments and results show that proposed LLC-PCA system outperforms the baseline system.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128134673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Optimising hazardous materials transport network based on multi-objective hybrid intelligence algorithm 基于多目标混合智能算法的危险品运输网络优化
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2016-04-01 DOI: 10.1504/IJISTA.2016.076098
Changxi Ma, Ruichun He, Wanli Xiang
{"title":"Optimising hazardous materials transport network based on multi-objective hybrid intelligence algorithm","authors":"Changxi Ma, Ruichun He, Wanli Xiang","doi":"10.1504/IJISTA.2016.076098","DOIUrl":"https://doi.org/10.1504/IJISTA.2016.076098","url":null,"abstract":"Hazardous materials transport network optimisation is the basis of ensuring the safety of hazardous materials transport. Considering the uncertainty of much basic information in hazardous materials transport system, this paper proposes the multi-objective chance-constrained programming model for hazardous materials transport network under uncertainty optimisation theory framework. Then, the paper builds the multi-objective hybrid intelligent algorithm to solve the model. The algorithm applies the stochastic simulation and fuzzy simulation to simulate uncertain parameters, adopts the priority coding way to code chromosome, applies the chromosome marker selection strategy to complete the selection operation, adopts the priority index crossover operator to ensure offspring's inheritance and advantages for the parent, uses the single parent vicinal swap method to complete mutation and applies the exclusive method to build dominating sets. Finally, the case study shows the model and algorithm are feasible.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132198038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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