Special issue on hardware implementations of soft computing techniques

Special issue on hardware implementations of soft computing techniques

Soft computing (SC) techniques, which include methods from fuzzy logic, neural networks, evolutionary computing, and other similar areas, have proven in the last few years how tolerance for imprecision, uncertainty, or approximation can be exploited to achieve tractable, robust, and low cost solutions. Most of SC methods and algorithms have been implemented in software on common computer system...

Preface of the Special Issue on Hybrid Intelligent Systems using Soft Computing Techniques

The special issue on hybrid intelligent systems using soft computing techniques comprises seven contributions, which are representative of the state of the art in this area. The papers describe different contributions to the area of hybrid intelligent systems with application on control, pattern recognition, time series prediction, and automation. In the papers, optimal combinations of intellig...

Special Issue on Soft Computing in the Semantic Web

Special issue on emerging trends in soft computing: memetic algorithms

In the last few decades, evolutionary algorithms (EAs) have gradually established a strong foothold as powerful search methods in many complex disciplines ranging from arts & design, business & finance to science & engineering. Although well established as credible and powerful search tools, researchers in this area are now facing new challenges of increasing computational needs in today’s appl...

Special Issue on Bridging Metaheuristic and Soft Computing

ficient of Determination and Nash-Sutcliffo Coefficient were used for comparing the prediction ability of the developed models. Four input parameters were Body & texture, aroma & flavour, moisture, and free fatty acid. Neurons in two hidden layers varied from 1 to 20. One output parameter was sensory score. Experiments show that Elman model with combination of 4-17-17-1 performed significantly ...