The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. It also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight...
The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. It also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight...
Face Recognition project made in matlab using PCA algorithm lowselfesteemsoftcomputing UpdatedJan 23, 2014 MATLAB In this paper, an attempt is made to leverage on novel metaheuristic optimization approaches for designing integrated navigation systems. For this purpose, a simplified version of the inclin...
Researchers at Khalifa University develop a MATLAB toolbox to model, simulate, and analyze complex flexible robots.
For the study, the multiclass error-correcting output code (ECOC)-based SVM model was used (fitecoc) in MATLAB with the classifier being SVM. This is because ECOC-based models are known to improve classification accuracies for multiclass problems (Qiu et al. 2024; Hu et al. 2024). The...
Soft Computing Based TVertical Handoffs in Fourth Generation Wireless Networksexture Classification with MATLAB ToolHeterogeneous Wireless Access NetworksVertical Handoffs in 4G Wireless NetworksRecently Proposed Vertical Handoff Techniques and Performance Evaluation of Network Selection...
For a MATLAB® version of this example, see Log-Likelihood Ratio (LLR) Demodulation.System Setup This example model simulates a convolutionally coded communication system having one transmitter, an AWGN channel and three receivers. The convolutional encoder has a code rate of 1/2. The system ...
In this section, to evaluate the performance of the proposed control method, several different disturbances are applied to the studied microgrid through MATLAB software and the performance results of the proposed method are compared with the conventional PI-controller. To improve the model and get ...
In this paper, we present an application of soft computing methods for the problem of WiMax Network Planning on 3D Geographical Information Systems (3D GIS) that optimizes both performance of the network (Coverage and Quality-of-Service) and investment costs (the number of base stations and sect...
About Code release for "Dynamic adaptive graph convolutional transformer with broad learning system for multi-dimensional chaotic time series prediction" (Applied Soft Computing 2024), https://www.sciencedirect.com/science/article/pii/S1568494624002904 -