Titlebook: Computational Intelligence Based on Lattice Theory; Vassilis G. Kaburlasos,Gerhard X. Ritter Book 2007 Springer-Verlag Berlin Heidelberg 2

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書目名稱Computational Intelligence Based on Lattice Theory影響因子(影響力)




書目名稱Computational Intelligence Based on Lattice Theory影響因子(影響力)學(xué)科排名




書目名稱Computational Intelligence Based on Lattice Theory網(wǎng)絡(luò)公開度




書目名稱Computational Intelligence Based on Lattice Theory網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Intelligence Based on Lattice Theory被引頻次




書目名稱Computational Intelligence Based on Lattice Theory被引頻次學(xué)科排名




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書目名稱Computational Intelligence Based on Lattice Theory讀者反饋




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Computational Intelligence Based on Lattice Theory

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https://doi.org/10.1007/978-94-017-3081-5a new vector-based approach for the extension of MM for greyscale images to colour morphology. We will extend the basic morphological operators dilation and erosion based on the threshold and fuzzy set approach to colour images. Finally in the last section we illustrate an image denoising method usi

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Learning in Lattice Neural Networks that Employ Dendritic Computingron’s membrane. Neuroscientists now believe that the basic computation units are dendrites, capable of computing simple logic functions. This paper discusses two types of neural networks that take advantage of these new discoveries. The focus of this paper is on some learning algorithms in the two n

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Orthonormal Basis Lattice Neural Networksorld problems. In this chapter a novel model of a lattice neural network (LNN) is presented. This new model generalizes the standard basis lattice neural network (SB-LNN) based on dendritic computing. In particular, we show how each neural dendrite can work on a different orthonormal basis than the