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A new implementation of Population Based Incremental Learning method for optimization studies in electromagnetics
(2006-11-21)
To enhance the global search ability of Population Based Incremental Learning (PBIL) methods, It Is proposed that multiple probability vectors are to be Included on available PBIL algorithms. As a result, the strategy for ...
Management and entrepreneurship management mechanism of college students based on support vector machine algorithm
For the employment and entrepreneurship management of college students, the application of big data technology can effectively improve their work efficiency, that is, the support vector machine algorithm is applied to the ...
A new boosting design of Support Vector Machine classifiers
(Elsevier, 2015)
Boosting algorithms pay attention to the particular structure of the training data when learning, by means of iteratively emphasizing the importance of the training samples according to their difficulty for being correctly ...
Constrained generalized predictive control using relaxation with quadratic penalization
(IEEE, 2001)
In this paper an iterative algorithm will be derived to find a numerical solution for the generalized predictive control of linear systems with constraints on controlled and manipulated variables. The algorithm uses the ...
How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms
(Springer, 2021)
SVM with an RBF kernel is usually one of the best classification algorithms for most data sets, but it is important to tune the two hyperparameters C and γ to the data itself. In general, the selection of the hyperparameters ...
Fast-forward/fast-backward substitutions on vector computers
(Institute of Electrical and Electronics Engineers (IEEE), 1999-11-01)
This paper deals with approaches for sparse matrix substitutions using vector processing. Many publications have used the W-matrix method to solve the forward/backward substitutions on vector computer. Recently a different ...
Fast-forward/fast-backward substitutions on vector computers
(Institute of Electrical and Electronics Engineers (IEEE), 1999-11-01)
This paper deals with approaches for sparse matrix substitutions using vector processing. Many publications have used the W-matrix method to solve the forward/backward substitutions on vector computer. Recently a different ...
Bio-inspired computation and its applications in image processing: An overview
(2016-08-11)
Almost all design problems in the sciences and engineering can be formulated as optimization problems, and many image processing problems can also be related to or formulated as optimization problems. These optimization ...
A new implementation of Population Based Incremental Learning method for optimization studies in electromagnetics
(2006-11-21)
To enhance the global search ability of Population Based Incremental Learning (PBIL) methods, It Is proposed that multiple probability vectors are to be Included on available PBIL algorithms. As a result, the strategy for ...
Genetic algorithm in chemistry.
(Soc Brasileira QuimicaSao PauloBrasil, 1999)