Int. J. Artif. Intell. Soft Comput.最新文献_第2页

Parametric and non parametric distribution analysis of AkT for cell survival/death AkT对细胞存活/死亡的参数和非参数分布分析

Int. J. Artif. Intell. Soft Comput. Pub Date : 2017-05-24 DOI: 10.1504/IJAISC.2017.10005159

Shruti Jain

引用次数: 5

Context's impact on the automatic spelling correction 上下文对自动拼写更正的影响

Int. J. Artif. Intell. Soft Comput. Pub Date : 2017-05-24 DOI: 10.1504/IJAISC.2017.10005160

Mohammed Nejja, A. Yousfi

引用次数: 3

A qualitative inference method for prediction of geographic process using spatial and temporal relations 一种利用时空关系预测地理过程的定性推理方法

Int. J. Artif. Intell. Soft Comput. Pub Date : 2017-05-24 DOI: 10.1504/IJAISC.2017.10005154

G. Jayanthi, V. Uma

引用次数: 3

Question answering systems: the story till the Arabic linked data 问答系统:故事直到阿拉伯语链接数据

Int. J. Artif. Intell. Soft Comput. Pub Date : 2017-05-24 DOI: 10.1504/IJAISC.2017.10005155

Abdelghani Bouziane, D. Bouchiha, Noureddine Doumi, M. Malki

引用次数: 2

Hybridisation of classical unidimensional search with ABC to improve exploitation capability 将经典一维搜索与ABC混合，提高搜索能力

Int. J. Artif. Intell. Soft Comput. Pub Date : 2015-07-01 DOI: 10.1504/IJAISC.2015.070636

Pranav Dass, S. Jadon, Harish Sharma, Jagdish Chand Bansal, K. Nygard

{"title":"Hybridisation of classical unidimensional search with ABC to improve exploitation capability","authors":"Pranav Dass, S. Jadon, Harish Sharma, Jagdish Chand Bansal, K. Nygard","doi":"10.1504/IJAISC.2015.070636","DOIUrl":"https://doi.org/10.1504/IJAISC.2015.070636","url":null,"abstract":"Artificial bee colony ABC optimisation algorithm is relatively a recent, fast and easy to implement population-based meta heuristic for optimisation. ABC has been proved a competitive algorithm with some popular swarm intelligence-based algorithms such as particle swarm optimisation, firefly algorithm and ant colony optimisation. However, it is observed that ABC algorithm is better at exploration but poor at exploitation. Due to large step size, the solution search equation of ABC has enough chance to skip the optimum. In order to balance this, ABC is hybridised with a local search called as classical unidimensional search CUS. The proposed algorithm is named as hybridised ABC HABC. In HABC, best solution of each iteration is further exploited in both its positive and negative direction in a predefined range which enhances the exploitation in ABC. The experiments are carried out on 15 test problems of different complexities and dimensions in order to prove the efficiency of proposed algorithm and compared with ABC. The results shows that hybridisation of CUS with ABC improves the performance of ABC.","PeriodicalId":364571,"journal":{"name":"Int. J. Artif. Intell. Soft Comput.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128931567","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: 1

Solving Euclidean multifacility location problems under circular area constraints using Rprop 利用Rprop求解圆形面积约束下的欧氏多设施定位问题

Int. J. Artif. Intell. Soft Comput. Pub Date : 2015-07-01 DOI: 10.1504/IJAISC.2015.070631

G. M. Nasira, T. Balaji

引用次数: 0

Swarm intelligence for natural language processing 自然语言处理的群体智能

Int. J. Artif. Intell. Soft Comput. Pub Date : 2015-07-01 DOI: 10.1504/IJAISC.2015.070634

Wojdan Alsaeedan, M. Menai

{"title":"Swarm intelligence for natural language processing","authors":"Wojdan Alsaeedan, M. Menai","doi":"10.1504/IJAISC.2015.070634","DOIUrl":"https://doi.org/10.1504/IJAISC.2015.070634","url":null,"abstract":"Natural language processing NLP is an area dealing with computational methods for achieving human-like language processing. Traditionally, NLP research has been focused on developing efficient and robust algorithms to treat most NLP tasks, including syntactic and semantic analysis, grammar induction, summary and text generation, document clustering and machine translation. Swarm intelligence SI methods are effective to do so, since they have been successfully applied for many real-world problems. Recently, NLP and SI have been active areas of research, joined together more than once to solve problems in NLP field. This paper presents a review of recent developments of SI methods in NLP. It shows that only a few NLP tasks and applications were tackled by using SI-based algorithms. These mainly include text document clustering and classification, text summarisation, word sense disambiguation, information retrieval, and speaker recognition. This study also shows that four SI-based algorithms were examined in NLP field, including ant colony optimisation ACO, particle swarm optimisation PSO, bee swarm optimisation BSO, and firefly algorithm FA, emphasising ACO and PSO as the most investigated algorithms in this field.","PeriodicalId":364571,"journal":{"name":"Int. J. Artif. Intell. Soft Comput.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124798160","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: 5

Using trust for lightweight communication in VANETs 在VANETs中使用信任实现轻量级通信

Int. J. Artif. Intell. Soft Comput. Pub Date : 2015-07-01 DOI: 10.1504/IJAISC.2015.070633

B. Chaurasia, R. S. Tomar, S. Verma

引用次数: 3

A hybrid approach to forecast stock market index 一种预测股市指数的混合方法

Int. J. Artif. Intell. Soft Comput. Pub Date : 2015-07-01 DOI: 10.1504/IJAISC.2015.070638

G. Kaur, J. Dhar, Rangan K. Guha

引用次数: 1

Synchronous motor speed control based on ANFIS methodology and sliding mode observer 基于ANFIS方法和滑模观测器的同步电机速度控制

Int. J. Artif. Intell. Soft Comput. Pub Date : 2015-02-01 DOI: 10.1504/IJAISC.2015.067527

A. Aissaoui, M. Abid, A. Tahour, A. C. Megherbi

引用次数: 3