Margot NortheyJudi JewinskiPadhy, N.P., and Simon, S.P. (2015) soft computing with matlab programming, (book) oxford university press.Padhy NP, Simon SP. Soft computing with MATLAB Pro- gramming. New Delhi: Oxford University Press; 2015....
Soft Computing with MATLAB Programming, 1/e a. Kusters, Ulrich, "Matrix Programming Languages for Statistical Computing: A Comparison of GAUSS, MATLAB, and Ox," with Jens Peter Steffen, in: Faulbaum, F. und W. Bandilla (eds.), SoftStat'97, Stuttgart: Lucius & Lucius,... NP Padhy,SP...
As just one example, we recently used SoRoSim together with Global Optimization Toolbox and Parallel Computing Toolbox™ to find the optimal cable path and cable tension for a soft robot, minimizing the error in the manipulator end and middle point coordi...
2021). Indeed, each node of the supply chain network could be represented by an UAV and, therefore, it is possible to extend the 5G network equipping each UAV with a computing element and thanks to the virtualization of the physical resources, the network function virtualization (NFV) and mul...
Application of soft computing in predicting the compressive strength of self-compacted concrete containing recyclable aggregate. Asian J. Civ. Eng. 2023(1), 1–14 (2023). Google Scholar Kaveh, A. & Servati, H. Design of double layer grids using backpropagation neural networks. Comput. ...
Multi-process Programming on a Local Grid Maple now allows you to launch multiple compute processes right from the user level without the need for any prior setup or administration. Learn More Multithreaded Programming Maple is the only technical computing system that allows you to take advantage of...
computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximation. Soft computing aims to surmount NP-complete problems, uses inexact methods to give useful but inexact answers to intractable problems, and also it is well suited for real world problems where ideal ...
Writing parallel algorithms using the Task Programming Model reduces and removes many of the difficulties associated with standard threaded programming. Example: Computing a Convex Hull Maple's New Memory Manager and Parallel Performance Improvements to Threads Add, Mul, Seq and Map Example: Magma...
Inthachot M, Supratid S (2007) A multi-subpopulation particle swarm optimization: a hybrid intelligent computing for function optimization. In: Third international conference on natural computation (icnc 2007) (vol 5, pp 679–684) Jadhav AN, Gomathi N (2018) Wgc: hybridization of exponential gr...
3D GIS Particle Swarm Optimization Parallel Random Forest Soft computing WiMax Network Planning 1. Introduction With the growing demands of Internet accesses for scientific and commercial uses nowadays, there is a strong need of high-quality network infrastructures that ensure large bandwidths and high ...