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....
One of the hybrid architectures in soft computing is the ANFIS model, which integrates the ANN and fuzzy logic techniques. The ANFIS architecture is an adaptive five-layered feedforward network developed based on the Takagi–Sugeno fuzzy system with hybrid learning combining the backpropagation gradien...
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...
but it may ultimately remove the benefits coming from physical interaction with the other players. Hence, it can be important to maintain a physical nature in a digitalized game, which can be achieved, e.g., through haptic or sound feedback, or even...
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...
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 ...
The parametric analyses, rank analyses, REC curves, and the AIC showed that the proposed models were quite effective and reliable for the estimation of the bearing capacity factor (Nc). Keywords: bearing capacity; slopes; strip footing; soft computing; MPMR; GMDH...
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...
In conclusion, DNN and ANFIS can be potentially used as machine computing for modelling TSR of GFRP bars with a maximum model error approach of 10.71%. 4.5. Sensitivity analysis Fig. 9 presents the impact of input variables in modelling TSR by DNN and ANFIS-GA. The sensitivity of pH and ...
Islam MR, Roy AC (2020) Prediction of california bearing ratio of fine-grained soil stabilized with admixtures using soft computing systems. J Civ Eng Sci Technol 11(1):28–44 Article Google Scholar Yuanyou X, Yanming X, Ruigeng Z (1997) An engineering geology evaluation method based on ...