ADAPTIVE GENETIC ALGORITHM (AGA) RADIAL BASIS FUNCTION (RBF) NEURAL NETWORK
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By using AFSA to optimize the parameters of RBF neural network, we can get the global optimal solution of the RBF parameter set, AFSA can optimize the number of hidden layer nodes
For the above shortcomings, a radial basis function (RBF) neural network adaptive PID control strategy is put forward for X-Y position platform with uncertainty. Firstly,
Face Recognition Using Fixed Spread Radial Basis Function Neural Network For Security
The main objective of this project is to develop a real-time face recognition system using radial basis function (RBF) neural network.. The algorithm and graphical
Bab ini berisi pembahasan mengenai Radial Basis Function Neural Network (RBFNN), arsitektur RBFNN, K-means Cluster, Metode Kuadrat Terkecil (Least Square), Metode Global
Metode Radial Basis Function melakukan pendekatan untuk mengatasi masalah singularitas tersebut dengan mengubah kombinasi linier fungsi basis menjadi sebuah fungsi
A Static Hand Gesture Recognition Algorithm Using K-Mean Based Radial Basis Function Neural Network Dipak Kumar Ghosh Department of Electronics and Communication Engineering National
Further the minimal radial basis function network yields an accurate fault type classification on a transmission line even in the presence of high fault resistance in the fault path..