This paper is concerned with the identification of nonlinear systems by utilizing of hybrid soft computing approaches. Based on the flexibly computational structure of the tree, a unified framework is constructed in which various soft computing models can be developed, evolved and evaluated. In this framework, the architecture of the hybrid soft computing models is created and evolved by using ...

Uncertainty and variability are inherent to pile design consequently, there have been considerable researches in quantifying the reliability or probability of failure structures. This paper aims at examining comparing applicability adaptability Minimax Probability Machine Regression (MPMR), Emotional Neural Network (ENN), Group Method Data Handling (GMDH), Adaptive Neuro-Fuzzy Inference System ...

The use of neural-network computational modules for radio frequency and microwave modelling design has lately gained popularity as an uncommon but useful technique this type design. It is possible to train neural networks study the behaviour active passive mechanisms circuits. In study, technologists will learn about what are how they can be used model microstrip patch antennas. An artificial n...