This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
: Constraint satisfaction programming (CSP) is a powerful paradigm for solving complex combinatorial problems, which has gained a lot of attention recently. Putting the power of co...
In this paper, for the purpose of saving network resources, we first introduce and investigate a new problem referred to as the least hop(s) multiple additively constrained path (...
Constraint Handling Rules (CHR) is a high-level programming language based on multiheaded multiset rewrite rules. Originally designed for writing user-defined constraint solvers,...
Jon Sneyers, Peter Van Weert, Tom Schrijvers, Lesl...