New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters.