In this work, a new gradient based reverse modeling approach employing Artificial Neural Networks (ANNs) for systematic RF/microwave modeling is introduced. This approach is particularly suited to modeling scenarios, where standard ANN multi-layer perceptron (MLP) fails to deliver a satisfactory model. The proposed approach detects the simplest input-output relationship inherent to the modeling...

The bubble effectiveness in liquid phase cylohexane non-catalytic oxidation process is discussed in this paper. Then the bubble effectiveness and a new proposed kinetic model are used in the mathematical model of the industrial reactor for the cyclohexane non-catalytic oxidation process. Furthermore, simulation and optimization based on this reactor model are carried out. The results of sim...

The integration of computing containers into Internet Things (IoT) systems created a lot challenges and opportunities in the connected devices cloud industries. In this paper, author proposed mathematical modeling method to analyze optimize deployment an IoT-based ecosystem. By implementing techniques, such as queuing theory, optimization algorithms, statistical analysis, we aim address key con...

The dynamic nature of projects and the fact that they are carried out in changing environments, justify the need for their periodic monitoring and control. Collection of information about the performance of projects at control points costs money. The corrective actions that may need to be taken to bring the project in line with the plan also costs money. On the other hand, penalties are usually...

As major experimental modeling methods, static soft-sensing methods have been widely used in modern chemical production process now. In fact, for the sampling frequency to output variable by laboratory analyzer off-line is rather low and uniform, the computed results, which gained from those methods or the existed major dynamic methods such as neural networks, are difficult to satisfy the requi...

This research work intends to propose a system with Improved Ant Colony Optimization (IACO) based on enhanced preprocessing method for enzyme clustering. A powerful optimization system is proposed in this research work initially deals with the enhanced principal component analysis. At that point the target function for the co-clustering troupe towards application to enzyme clustering is present...