An Efficient Approach Combining Genetic Algorithm and Neural Networks for Eigen Value Grads Method (EGM) In Wireless Mobile Communications
Mohammed Hussein Miry
Abstract:The objective of this paper is combining Genetic Algorithm and Principal Component Analysis (PCA) neural network for Eigenvalue Grads Method (EGM) to estimate the number of sources in wireless mobile communications. The Eigenvalue Grads Method (EGM) is a popular method for estimation the number of sources impinging on an array of sensors, which is a problem of great interest in wireless mobile communications. This paper proposed a new system to estimate the number of sources by applying the output of genetic a… Show more
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