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Novo sistema de previsão de doenças utilizando técnicas híbridas de aprendizagem profunda

Novo sistema de previsão de doenças utilizando técnicas híbridas de aprendizagem profunda


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About the Book

Este livro foi realizado através de três modelos diferentes com uma combinação diferente de técnicas de selecção de características e de aprendizagem profunda. O primeiro modelo propôs a combinação do novo algoritmo de selecção de características baseado na optimização de Grey-Wolf (EGWO-FSA) e da Deep Belief Network (DBN) para diagnosticar doenças cardíacas, diabetes e cancro. O segundo modelo propôs um sistema de previsão de doenças que é desenvolvido utilizando o novo Algoritmo de Optimização Genética Binária do Cuco (GBCOA) e a nova Rede Neural Convolucional-Recorrente (C-RNN) para identificar as doenças cardíacas, oncológicas e diabéticas. A terceira técnica implementa um novo sistema de previsão de doenças que foi desenvolvido utilizando o novo Algoritmo de Selecção Incremental de Características (IFSA) e a nova Rede Neuronal Convolucional com Características Temporais (T-CNN) para prever doenças cardíacas, diabéticas e cancerígenas. As técnicas propostas são avaliadas através da realização de várias experiências e obtiveram um melhor desempenho no sistema de previsão de doenças proposto do que nos sistemas existentes em termos de precisão de previsão e tempo de computação.


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Product Details
  • ISBN-13: 9786206031840
  • Publisher: KS Omniscriptum Publishing
  • Binding: Paperback
  • Language: Portuguese
  • Returnable: N
  • Weight: 299 gr
  • ISBN-10: 6206031845
  • Publisher Date: 25 May 2023
  • Height: 229 mm
  • No of Pages: 164
  • Spine Width: 10 mm
  • Width: 152 mm


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