Abstract-Some methods using artificial neural network were proposed for solving to the Two-Spiral Problem (TSP). TSP is a problem which classifies two spirals drawn on the plane, and it is famous as the high nonlinear problem.In this paper, we propose a chaos glial network which connected to Multi-Layer Perceptron (MLP). The chaos glial network is inspired by astrocyte which is glial cell in the brain. By computer simulations for solving TSP, we confirmed that the proposed chaos glial network connected to MLP gains better performance than the conventional MLP.
We have proposed the glial network which was inspired from the feature of the brain. The glial network is composed by glias connecting each other. All glias generate oscillations and these oscillations propagate in the glial network. We confirmed that the glial network improved the learning performance of the Multi-Layer Perceptron (MLP).In this article, we investigate the MLP with the impulse glial network. The glias generate only impulse output, however they make the complex output by correlating with each other. We research the proposed networks' parameter dependency. Moreover, we show that the proposed network possess better learning performance and better generalization capability than the conventional MLPs.
SUMMARYThis letter proposes a novel design approach for optimal contourlet filter banks based on the parametric 9/7 filter family. The Laplacian pyramid decomposition is replaced by optimal 9/7 filter banks with rational coefficients, and directional filter banks are activated using a pkva 12 filter in the contourlets. Moreover, based on this optimal 9/7 filter, we present an image denoising approach using a contourlet domain hidden Markov tree model. Finally, experimental results show that our approach in denoising images with texture detail is only 0.20 dB less compared to the method of Po and Do, and the visual quality is as good as for their method. Compared with the method of Po and Do, our approach has lower computational complexity and is more suitable for VLSI hardware implementation. key words: contourlet filter banks, 9/7 filter banks, directional filter banks, hidden Markov tree model, image denoising
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