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A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
(2000-01-01)
A neural network model for solving constrained nonlinear optimization problems with bounded variables is presented. More specifically, a modified Hopfield network is developed and its internal parameters are computed using ...
Cluster analysis and artificial neural network on the superovulatory response prediction in mice
(2012-06-13)
Complex biological systems require sophisticated approach for analysis, once there are variables with distinct measure levels to be analyzed at the same time in them. The mouse assisted reproduction, e.g. superovulation ...
Biological image classification using rough-fuzzy artificial neural network
(2015-12-30)
This paper presents a methodology to biological image classification through a Rough-Fuzzy Artificial Neural Network (RFANN). This approach is used in order to improve the learning process by Rough Sets Theory (RS) focusing ...
Explainable prediction of chronic renal disease in the Colombian population using neural networks and case-based reasoning
This paper presents a neural network-based classifier to predict whether a person is at risk of developing chronic kidney disease (CKD). The model is trained with the demographic data and medical care information of two ...
Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series
(IEEE Computer Society, 2015-11)
Discovering gene regulatory networks from data is one of the most studied topics in recent years. Neural networks can be successfully used to infer an underlying gene network by modeling expression profiles as times series. ...
Cluster analysis and artificial neural network on the superovulatory response prediction in mice
(2012-06-13)
Complex biological systems require sophisticated approach for analysis, once there are variables with distinct measure levels to be analyzed at the same time in them. The mouse assisted reproduction, e.g. superovulation ...