Similarity Measures for Learning in Lattice Based Biomimetic Neural Networks

GX Ritter, G Urcid, LD Lara-Rodríguez - Mathematics, 2020 - mdpi.com
This paper presents a novel lattice based biomimetic neural network trained by means of a
similarity measure derived from a lattice positive valuation. For a wide class of pattern …

[PDF][PDF] A Mapping and Sorting Hybrid Technique for Color Image Palette Extraction

G Urcid, R Morales-Salgado - speckle.inaoep.mx
This paper introduces a hybrid computational technique that combines a vector to scalar
mapping and single key numerical sorting to extract the color palette of an image coded in …

Improving the dendritic lattice neural network by utilizing a fuzzy inclusion measure

S Chen, B Li, B Li, J Dong - Journal of Intelligent & Fuzzy …, 2016 - content.iospress.com
It has been proven that the dendritic lattice neural network (DLNN) has the advantages of
fast calculation, nonexistent convergence problems, and a superior capacity to store …