We show that artificial neural networks (ANNs) can, to high accuracy, determine the topological invariant of a disordered system given its two-dimensional real-space Hamiltonian. Furthermore, we describe ``renormalization-group'' (RG) network, an ANN which converts Hamiltonian on large lattice another small while preserving invariant. By iteratively applying RG network ``base'' computes Chern n...

In this paper by considering a fuzzy continuous action of a fuzzy topological group on a fuzzy topological space we have fuzzifiifed the notion of topological dynamical system. Some properties of this fuzzy structure are investigated. Then we have constructed mixed fuzzy topological dynamical system from two given fuzzy topological dynamical systems.

In dealing with transformation group, topological approach is very natural. But, it is not sufficient to investigate geometric properties of transformation group and we need geometric method. Frankel-McDuff Conjecture is very interesting in the point that it shows struggling between topological method and geometric method. In this paper, the author suggest generalized FrankelMcDuff conjecture a...

The topological symmetry group of a graph embedded in the 3-sphere is the group consisting of those automorphisms of the graph which are induced by some homeomorphism of the ambient space. We prove strong restrictions on the groups that can occur as the topological symmetry group of some embedded graph. In addition, we characterize the orientation preserving topological symmetry groups of embed...

In this paper, we have dened and studied a generalized form of topological vector spaces called s-topological vector spaces. s-topological vector spaces are dened by using semi-open sets and semi-continuity in the sense of Levine. Along with other results, it is proved that every s-topological vector space is generalized homogeneous space. Every open subspace of an s-topological vector space is...