A Neural Network Algorithm for Computing Matrix Eigenvalues and Eigenvectors

While using continuous time neural network described by the E.Oja. learning rule (Oja-N) for computing real symmetrical matrix eigenvalues and eigenvectors, the initial vector must be on R n unit hyper-sphere surface, otherwise, the network may produce limit-time overflow. In order to get over this ... View More