A multi-objective neural network trained with differential evolution for dynamic economic emission dispatch
Multi-objective optimisation has received considerable attention in recent years as many
real world problems have multiple conflicting objectives. There is an additional layer of …
real world problems have multiple conflicting objectives. There is an additional layer of …
Breast cancer diagnosis using multi-stage weight adjustment in the MLP neural network
A Rezaeipanah, G Ahmadi - The Computer Journal, 2022 - academic.oup.com
Breast cancer is the most common kind of cancer, which is the cause of death among the
women worldwide. There is evidence that shows that the early detection and treatment can …
women worldwide. There is evidence that shows that the early detection and treatment can …
[HTML][HTML] Evolutionary strategy to develop learning-based decision systems. Application to breast cancer and liver fibrosis stadialization
The purpose of this paper is twofold: first, to propose an evolutionary-based method for
building a decision model and, second, to assess and validate the model's performance …
building a decision model and, second, to assess and validate the model's performance …
[HTML][HTML] Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis
Automated medical diagnosis models are now ubiquitous, and research for develo** new
ones is constantly growing. They play an important role in medical decision-making, hel** …
ones is constantly growing. They play an important role in medical decision-making, hel** …
Support vector machines and evolutionary algorithms for classification
When we decided to write this book, we asked ourselves whether we could try and unify
everything that we have studied and developed under a same roof, where a reader could …
everything that we have studied and developed under a same roof, where a reader could …
A hybrid neural network/genetic algorithm applied to breast cancer detection and recurrence
Genetic algorithms (GA s) and neural networks (NN s) are both inspired by computation in
biological systems and many attempts have been made to combine the two methodologies …
biological systems and many attempts have been made to combine the two methodologies …
Breast cancer detection using neural network models
PS Pawar, DR Patil - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
Breast cancer is the leading cause of death in women. If breast cancer is detected in early
stage, then chances of survival are very high. In body new cells take place of old cells by …
stage, then chances of survival are very high. In body new cells take place of old cells by …
[PDF][PDF] Using artificial immune recognition systems in order to detect early breast cancer
CD Katsis, I Gkogkou, CA Papadopoulos… - … Journal of Intelligent …, 2013 - researchgate.net
In this work, a decision support system for early breast cancer detection is presented. In hard
to diagnose cases, different examinations (ie mammography, ultrasonography and magnetic …
to diagnose cases, different examinations (ie mammography, ultrasonography and magnetic …
Data mining-based intelligent decision support systems
We have finally reached the point of introducing the cookbook of intelligent decision-support
systems. In the previous chapters you have already caught a glimpse of concepts like data …
systems. In the previous chapters you have already caught a glimpse of concepts like data …
Intelligent decision systems in Medicine—A short survey on medical diagnosis and patient management
F Gorunescu - 2015 E-Health and Bioengineering Conference …, 2015 - ieeexplore.ieee.org
The nowadays extensive use of computers in Medicine is remarkably widespread and
covers almost all branches of the healthcare and biomedicine. Since the beginning of the …
covers almost all branches of the healthcare and biomedicine. Since the beginning of the …