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To solve the problem of gradient descent (GD) method which has low accuracy and easily falling into local optimum, the radial basis function (RBF) based on immune algorithm system (IAS-RBF) is proposed. In this method, each antibody is a RBF neural network and the optimal affinity is calculated by immune algorithm system (IAS) to get the best antibody, then the optimal parameter of RBF neural network...
In multi-objective optimization problems (MOPs), set-based performance indicators are commonly used to assess the convergence and diversity of Pareto front approximation. Performance indicators can be used as the selection strategies. The selection strategy of indicator based evolutionary multi-objective algorithms (EMOAs) is guided by a general preference information, which maps objectives into a...
Massive multiple-input and multiple-output (MIMO) technique is regarded as one of the most promising technique in the fifth-generation (5G) wireless communication systems. However, accurate channel estimation technique poses a challenge for spatial correlated 3D MIMO systems. Based on the conventional general sparse channel model, sparse channel estimation method using compressive sampling matching...
Model-based testing creates tests from abstract models of the software. These models are often described as graphs, and test requirements are defined as sub paths in the graphs. As a step toward creating concrete tests, complete (test) paths that include the sub paths through the graph are generated. Each test path is then transformed into a test. If we can generate fewer and shorter test paths, the...
We develop a K-SVD algorithm based radar HRRP target recognition method, which can adaptively select the sparse decomposition coefficient based on test noise environment. Experimental results on measured data show our method obtains a better performance than PCA based method.
An improved algorithm for computing geodetic coordinates from Cartesian coordinates is presented. The algorithm solves a quartic equation of the Lagrange parameter using Newton-Raphson (NR) method. A initial guess is given weightily that works rigorously for most points except in a small near-geocenter region. Numerical experiments and comparisons with some other methods show that the new algorithm...
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