Self-organizing height-arrow model: numerical and analytical results

نویسنده

  • Robert R. Shcherbakov
چکیده

The recently introduced self-organizing height-arrow (HA) model is numerically investigated on the square lattice and analytically on the Bethe lattice. The concentration of occupied sites and critical exponents of distributions of avalanches are evaluated for two slightly different versions of the model. The obtained exponents for distributions of avalanches by mass, area, duration and appropriate fractal dimensions are close to those for the BTW model, which suggests that the HA model belongs to the same universality class. For comparison, the concentration of occupied sites in the HA model is calculated exactly on the Bethe lattice of coordination number q = 4 as well. PACS number(s): 05.70.Ln, 05.40.+j, 02.70.-c Typeset using REVTEX ∗On leave of absence from Theoretical Department, Yerevan Physics Institute, 375036 Yerevan, Armenia.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Stochastic Self-Organizing Map for Proximity Data

We derive an efficient algorithm for topographic mapping of proximity data (TMP), which can be seen as an extension of Kohonen's self-organizing map to arbitrary distance measures. The TMP cost function is derived in a Baysian framework of folded Markov chains for the description of autoencoders. It incorporates the data by a dissimilarity matrix D and the topographic neighborhood by a matrix H...

متن کامل

The Principal Components Analysis Self-Organizing Map

We propose a new self-organizing neural model that performs principal components analysis. It is also related to the adaptive subspace self-organizing map (ASSOM) network, but its training equations are simpler. Experimental results are reported, which show that the new model has better performance than the ASSOM network.

متن کامل

Steel Consumption Forecasting Using Nonlinear Pattern Recognition Model Based on Self-Organizing Maps

Steel consumption is a critical factor affecting pricing decisions and a key element to achieve sustainable industrial development. Forecasting future trends of steel consumption based on analysis of nonlinear patterns using artificial intelligence (AI) techniques is the main purpose of this paper. Because there are several features affecting target variable which make the analysis of relations...

متن کامل

A Numerical Study on Geofoam Application in the Settlement Reduction of Railway Embankments

Construction of railway track embankment over a soft subgrade will bring the necessity of using soil improvement methods for bearing capacity and settlement criteria satisfaction. As a practical improvement method, railway embankment filled with geofoam blocks is studied in this paper. First; a bilinear stress-strain model developed in FLAC2D to simulate geofoam embankment behavioral model. Sec...

متن کامل

A Rule Extractor for Diagnosing the Type 2 Diabetes Using a Self-organizing Genetic Algorithm

Introduction: Constructing medical decision support models to automatically extract knowledge from data helps physicians in early diagnosis of disease. Interpretability of the inferential rules of these models is a key indicator in determining their performance in order to understand how they make decisions, and increase the reliability of their output. Methods: In this study, an automated hyb...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008