A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning
2017
Complexity
Preserved Fulltext
In the proposed algorithm, adaptive genetic algorithm is employed to select optimal initial clustering centers. ...
Then, to overcome the shortcoming of the traditional clustering algorithm, an improved fuzzy c-means (FCM) algorithm based on adaptive genetic algorithm and semisupervised learning is proposed. ...
Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper. ...
doi:10.1155/2017/8130961
fatcat:zzos4q3u3va4fhxhfwgichszwa
GANNET: A Machine Learning Approach to Document Retrieval
1994
Journal of Management Information Systems
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
The GAs manipulate input documents and their associated key words to generate an initial set of optimized key words—a process called concept optimization. ...
With the optimized output (key words) generated by GAs and the association of key words captured by the network, the Hopfield parallel relaxation algorithm activates neighboring terms, combines weighted ...
doi:10.1080/07421222.1994.11518048
fatcat:cjqkqr6d4rggpem7ckgxzwzw44
An Optimized Association Rule mining using Genetic Algorithm
2015
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Genetic Algorithm is a search heuristic which is used to generate useful solution for optimization and search problems. ...
The Proposed Approach is to generate rules based on Quantitative dataset, using the concept of threshold -frequent item sets are define as initial population which the first step of Genetic algorithm. ...
Iyakutti [9] a novel genetic algorithm based association rule mining algorithm is discussed in this paper. Prioritization of the rules has been discussed with the help of genetic algorithm. ...
doi:10.5120/21134-4063
fatcat:sl24tjbujzfltn6uub5f7vvg7q
Enhancing Learning Paths with Concept Clustering and Rule-Based Optimization
2011
2011 IEEE 11th International Conference on Advanced Learning Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose to obtain more thorough correlation information through concept clustering, which will then be passed to our rule-based genetic algorithm to search for better learning path(s) ...
To demonstrate the feasibility of our proposal, a prototype of our ontology analyser enhanced with concept clustering and rule-based optimizer was implemented. ...
The details of the rule extraction process will be discussed later. 7) Learning path optimization: the genetic algorithm is used to optimize the learning path/sequence of relevant course modules. ...
doi:10.1109/icalt.2011.78
dblp:conf/icalt/FungTL11
fatcat:y5etnnzt2vbvjkfsh55fbx7swu
Evaluation Model of Product Shape Design Scheme Based on Fuzzy Genetic Algorithm Mining Spatial Association Rules
2022
Mathematical Problems in Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Put forward a kind of association rules mining method based on fuzzy genetic algorithm, this approach by building a mining model, the association rules and fuzzy genetic algorithm fuses in together, and ...
model, together to achieve the fuzzy genetic algorithm (GA) variant design of fine-grained axiomatic mode, based on the associated network building and integration of new product design process, product ...
Acknowledgments is work was supported by School of Anyang Institute of Technology. ...
doi:10.1155/2022/2888472
fatcat:6wyocvgtenhtvpbtkkvrnet2ia
Metaheuristic for Word Sense Disambiguation: a Review
2018
International Journal of Engineering & Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Word Sense Disambiguation (WSD) is the process of determining the exact sense of a particular word in accordance to the context in a computational manner. ...
In this vein, determining the exact meaning of the certain word would facilitate the process of identifying the category of such text, accurate corresponding search results and providing an accurately ...
Because of the high dimensionality of the search space, a genetic algorithm is used to find a near-optimal combination of sense choices. ...
doi:10.14419/ijet.v7i3.20.20586
fatcat:ormyo4yjonehjmg4tg5aeyzyba
Opinion Analysis Model for Classification of Opinions for M Learning
2015
Communications on Applied Electronics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
An improvement of classification accuracy is noticed when the data is preprocessed by KN preprocessing algorithm. ...
Some processes were posed, described, discussed and compared with existing classification algorithms. ...
As to outwit the performance of the neural network based algorithms, genetic optimization is regarded in mining the opinions [15] . ...
doi:10.5120/19411-1066
fatcat:2su3bsw2qncwlevfblllxrdtde
Toward a Complete E-learning System Framework for Semantic Analysis, Concept Clustering and Learning Path Optimization
2012
2012 IEEE 12th International Conference on Advanced Learning Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
concept clustering algorithm to group relevant concepts before finding their relationship measures. ...
can be ultimately used to find an optimal learning sequence of involved concepts or modules for each individual learner after considering his/her past performance, learner's profile, learning style, etc ...
The refined concept correlation information through the concept clustering algorithm will then be passed to the rule-based genetic algorithm to optimise for better learning path(s). ...
doi:10.1109/icalt.2012.66
dblp:conf/icalt/TamLF12
fatcat:tlj574sbazcfpjzprvbi2mpoxm
Application of Multidirectional Mutation Genetic Algorithm and Its Optimization Neural Network in Intelligent Optimization of English Teaching Courses
2021
Computational Intelligence and Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
A BP neural network optimization algorithm based on multidirectional mutation genetic algorithm (MMGA-BP) is presented. ...
Firstly, this paper gives the framework of intelligent English course optimization system based on multidirectional mutation genetic BP neural network and analyses the local optimization problems existing ...
Acknowledgments e work in this article was supported by Nanjing University of Posts and Telecommunications. ...
doi:10.1155/2021/4297600
pmid:34925487
pmcid:PMC8683223
fatcat:pjqfazuydjdxhmd2dexacrzdli
Mining personalized medicine algorithms with surrogate algorithm tags
2010
Proceedings of the ACM international conference on Health informatics - IHI '10
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
We use a text mining approach to generate 'Surrogate Algorithm Tags' (SRATs), i.e., keyword combinations highly associated with articles containing the algorithms of interest. ...
improve precision or recall of the search, and then apply cut-off thresholds to terminate the optimization process and obtain optimal SRATs. ...
The combinations of keywords are currently decided based on the domain knowledge. ...
doi:10.1145/1882992.1883066
dblp:conf/ihi/ChiKFPPT10
fatcat:4nhdjzrxpbf4hax7yhabdbxbwu
The hybrid model of neural networks and genetic algorithms for the design of controls for internet-based systems for business-to-consumer electronic commerce
2011
Expert systems with applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This study intends to propose ISB2C-NNGA (ISB2C-controls design using neural networks and genetic algorithms), a hybrid optimization model using neural networks and genetic algorithms for the design of ...
The effect of each mode of controls on implementation (volume) can be identified using exponents and standardized coefficients in the GA-based nonlinear regression analysis in ISB2C-NNGA. ...
The approach provides a back-propagation neural networks and genetic algorithm (GA) based approach, i.e., ISB2C-NNGA (ISB2C controls design using neural networks and genetic algorithms), a hybrid optimization ...
doi:10.1016/j.eswa.2010.09.102
fatcat:7qweqphvpzdrrncb3btdif4xti
Sentiment Analysis Using Naive Bayes Algorithm with Feature Selection Particle Swarm Optimization (PSO) and Genetic Algorithm
2021
International Journal of Advances in Data and Information Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
That way, in this test, a comparison of feature selection is carried out using Particle Swarm Optimization and Genetic Algorithm to improve the accuracy performance of the Naive Bayes algorithm. ...
The results showed the highest increase for Naïve Bayes algorithm accuracy when using the feature selection of the Particle Swarm Optimization Algorithm from 60.26% to 77.50%, while the genetic algorithm ...
., A Hybrid Framework for Sentiment Analysis Using Genetic Algorithm-Based Feature Reduction. ...
doi:10.25008/ijadis.v2i2.1224
fatcat:3dy7ish45zbzxamrmdt4jrfzs4
An Effective and Efficient Genetic-Fuzzy Algorithm for Supporting Advanced Human-Machine Interfaces in Big Data Settings
2019
Algorithms
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
genetic optimization of the membership degrees. ...
The algorithm introduces several points of innovation, based on complex metrics of similarity that involve different characteristics of the entire learning process. ...
Our algorithm is based on a genetic optimization algorithm and a set of fuzzy rules to determine the degrees of membership of the places of articulation. ...
doi:10.3390/a13010013
fatcat:orxv4gkxsngdpi6wssuum5ypce
Coevolutionary Characteristics of Knowledge Diffusion and Knowledge Network Structures: A GA-ABM Model
2019
Journal of Artificial Societies and Social Simulation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In order to study the co-evolutionary dynamics of knowledge di usion and network structure, we developed a genetic algorithm-agent based model (GA-ABM) by combining a genetic algorithm (GA) and an agent-based ...
They additionally exploited four well-known network topology algorithms based on probabilistic methods to analyze their e ects on knowledge di usion and verify the model's validity through policy experiments ...
Notes A brief explanation of the relationship between genetic algorithm and network. ...
doi:10.18564/jasss.4037
fatcat:f7g7tpxln5c3hpvaq3iz74vrcu
The English Vocabulary using Ubiquitous Learning System
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Based on the support platform of mobile education systems, many learning activities can be completed. ...
this paper, so as to provide a universal learning platform for the study of English words. ...
Genetic algorithms have been widely used in global optimization search algorithms in recent years. ...
doi:10.35940/ijitee.l3424.1081219
fatcat:4buvxxch3bhk5glc3tf4uwhfra
« Previous
Showing results 1 — 15 out of 51,744 results