Topic: grnn Goto Github
Some thing interesting about grnn
Some thing interesting about grnn
grnn,n this work, a neuro-fuzzy system (NFS)-based autonomous and adaptive controller termed as the hybrid auto-adaptive controller (HAC) is developed. HAC combines a simplified NFS (Simp_NFS) and a simplified neural network (Simp_NN). Unlike conventional NFS, in this study, hyper-plane-shaped clusters (HPSCs) are utilized in Simp_NFS, which has no learning parameters like mean and variance in the antecedent part. Only the consequent parameter needs to be adapted, where the adaptation laws are derived from the Simp_NN. The number of learning parameters in Simp_NN reduced to one by replacing the weights between the hidden and output layers with their mean value.
User: ahmadjordan
grnn,General Regression Neural Networks were coded with python.
User: enginbozaba
grnn,εΊδΊη₯η»η½η»ηδΈιΆεη«ζζ§εΆ
User: hmteen
grnn,Generalized Regression Neural Networks estimates using the weighted averages of the outputs of the training data set. (With Gaussian kernel and Euclidean distance)
User: muhendis
grnn,filling in missing values in climate data
User: tmeits
grnn,Filling the gaps in climate data
User: tmeits
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