evolutionary Design of Code-matrices for Multiclass Problems

“…In this interdisciplinary study, such a model is obtained using a combination of conventional and soft computing models. Soft computing (Cruz & Pelta, ; Corchado et al ., ; Torra & Narukawa, ) is a collection or set of computational techniques in machine learning (Abraham et al ., ), such as artificial neural networks (Kohonen, ; Herrero et al ., ), genetic algorithms (Lorena & de Carvalho, ; Naldi et al ., ), fuzzy systems (Zadeh, ; Berlanga et al ., ) and swarm intelligence (Das et al ., ), which investigate, simulate and analyse very complex issues and phenomena.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the operating conditions in a high precision industrial process using soft computing techniques

et al. 2011

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This interdisciplinary research is based on the application of unsupervized connectionist architectures in conjunction with modelling systems and on the determining of the optimal operating conditions of a new high precision industrial process known as laser milling. Laser milling is a relatively new micro-manufacturing technique in the production of high-value industrial components. The industrial problem is defined by a data set relayed through standard sensors situated on a laser-milling centre, which is a machine tool for manufacturing high-value micro-moulds, micro-dies and micro-tools. The new three-phase industrial system presented in this study is capable of identifying a model for the laser-milling process based on low-order models. The first two steps are based on the use of unsupervized connectionist models. The first step involves the analysis of the data sets that define each case study to identify if they are informative enough or if the experiments have to be performed again. In the second step, a feature selection phase is performed to determine the main variables to be processed in the third step. In this last step, the results of the study provide a model for a laser-milling procedure based on low-order models, such as black-box, in order to approximate the optimal form of the laser-milling process. The three-step model has been tested with real data obtained for three different materials: aluminium, copper and hardened steel. These three materials are used in the manufacture of micro-moulds, micro-coolers and micro-dies, high-value tools for the medical and automotive industries among others. As the model inputs are standard data provided by the laser-milling centre, the industrial implementation of the model is immediate. Thus, this study demonstrates how a high precision industrial process can be improved using a combination of artificial intelligence and identification techniques.

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“…Dimensionality reduction methods [1] involve processes such as feature construction, space dimensionality reduction, and sparse representations among others, which are achieved by using a wide array of techniques such as genetic algorithms [2], fuzzy systems [3] and others that investigate complex real problems in fields as medicine [4], ecology [5], engineering [6] and so on.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithms to Simplify Prognosis of Endocarditis

Curiel

Baruque

Dueñas

et al. 2011

Lecture Notes in Computer Science

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This ongoing interdisciplinary research is based on the application of genetic algorithms to simplify the process of predicting the mortality of a critical illness called endocarditis. The goal is to determine the most relevant features (symptoms) of patients (samples) observed by doctors to predict the possible mortality once the patient is in treatment of bacterial endocarditis. This can help doctors to prognose the illness in early stages; by helping them to identify in advance possible solutions in order to aid the patient recover faster. The results obtained using a real data set, show that using only the features selected by employing a genetic algorithm from each patient's case can predict with a quite high accuracy the most probable evolution of the patient.

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evolutionary Design of Code-matrices for Multiclass Problems

Cited by 7 publications

References 30 publications

Detecção De Intrusos Em Redes De Computadores Com Uso De Códigos Corretores De Erros E Medidas De Informação

Detecção De Intrusos Em Redes De Computadores Com Uso De Códigos Corretores De Erros E Medidas De Informação

Optimizing the operating conditions in a high precision industrial process using soft computing techniques

Genetic Algorithms to Simplify Prognosis of Endocarditis

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