The present work intends to introduce a soft computing technique as an effective and robust tool available to deal with nuclear engineering problems.
In this study we propose a more systematic method in defining the structure of a soft computing technique, namely the backpropagation neural network, when used as a controller for rubbertuator robot systems.
As the search space is very large in the case of de novo drug design, evolutionary algorithm (EA), a soft computing technique can be used to find an optimal solution, which in this case is a novel drug.
Fuzzy cognitive maps (FCMs) is a soft computing technique for modeling complex systems, which follows an approach similar to human reasoning and the human decision-making process.
In this paper, the accuracy of a soft computing technique was employed for resilient modulus prediction based on a series of measurements of Recycled Concrete Aggregates (RCA) content in Hot Mix Asphalt (HMA) and Stone Mastic Asphalt (SMA) mixtures.
In this paper, we propose a new steganography algorithm using non-uniform adaptive image segmentation (NUAIS) with an intelligent computing technique to conceal efficiently a large amount of confidential messages (Smsg) into color images.
This technique can handle large uncertainties safely and efficiently through a parallel computing technique.
Genetic programming as a soft computing technique was implemented to find mathematical correlations between architectural parameters and experimentally obtained results.
For this reason, a soft computing technique - multi-gene genetic programming (MGGP) is employed to develop tools for prediction of relative permeability.
