At present, the packing method of “plastic bag–buffer packing–packing paper box” is adopted for bearing packaging. However, common has a poor effect and versatility. In this study, new biomimetic cobweb cushion proposed to solve problem insufficient cushioning capacity high-precision packaging pads. First, according nature form, structure configuration determined. Next, based on relationship be...

We establish a nonlinear real estate model based on cobweb theory, where the demand function and supply function are quadratic. The stability conditions of the equilibrium are discussed. We demonstrate that as some parameters varied, the stability of Nash equilibrium is lost through period-doubling bifurcation. The chaotic features are justified numerically via computing maximal Lyapunov expone...

A new approach to classification is presented based on COBWEB, an unsupervised conceptual clustering algorithm. The modifications proposed improved the classification accuracy by 2.32% and up to 7.25% in the Period Disambiguation system that was built in order to test the efficiency of the approach. The system can be trained across different domains and languages. It has been tested on the Brow...

With the use of numerical simulations based on generalized nonlinear Schrödinger equation, we study for the first time the coherence of super-continuum (SC), generated in tapered and cobweb fibers in the regime with clearly defined solitions in spectrum. We suggest a simple model, which explains the influence of pump pulses power and duration on SC coherence. A possibility of concerned SC gener...

This work analyses the role of asymmetry in beliefs for price dynamics a cobweb model with heterogeneous expectations and evolutionary selection predictors. While but symmetric result rational equilibrium price, effect depends on whether predictors one side or other rationality have larger support. A support skewed towards that are anchored to past prices can be destabilizing, interaction mecha...

Cluster analysis has been studied and developed in many areas for a wide variety of applications. The purpose of applying clustering to a database is to gain better understanding of the data, in many cases through revealing hierarchical topologies. We are working on extending the Subdue structural knowledge discovery system with clustering functionalities. Past works related to ours are an incr...