We are improving our search experience. To check which content you have full access to, or for advanced search, go back to the old search.

Search

Please fill in this field.
Filters applied:
Computer-aided engineering (cad, cae) and design

Search Results

Showing 1-20 of 10,000 results

  1. Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets

    A design method of coders on YUV color space is proposed based on an overlap level of fuzzy sets, in order to optimize the image...
    Hajime Nobuhara, Eduardo Masato Iyoda, ... Witold Pedrycz in Computational Intelligence for Modelling and Prediction
    Chapter

  2. Multi-layer Image Transmission with Inverse Pyramidal Decomposition

    This paper presents a new image compression method based on the Inverse Difference Pyramid (IDP) decomposition, and one specific application of this...
    Roumen Kountchev, Mariofanna Milanova, ... Roumiana Kountcheva in Computational Intelligence for Modelling and Prediction
    Chapter

  3. A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction

    In this paper, we show how a fuzzy rule-based system is developed for trading in a futures market. By our fuzzy rule-based system, an agent...
    Tomoharu Nakashima, Takanobu Ariyama, ... Hisao Ishibuchi in Computational Intelligence for Modelling and Prediction
    Chapter

  4. Non-Iterative ICA for Detecting Motion in Image Sequences

    The ICA (Independent Component Analysis) technique can be used to detect difference in a sequence of images. However, most implementations of this...
    Yu Wei, Charayaphan Charoensak in Computational Intelligence for Modelling and Prediction
    Chapter

  5. Fuzzy Congestion Control In Packet Networks

    In this paper an adaptive fuzzy congestion control solution for active queue management in packet switched networks which use TCP to solve end-to-end...
    Tapio Frantti in Computational Intelligence for Modelling and Prediction
    Chapter

  6. Mining Technical Patterns in The U. S. Stock Market through Soft Computing

    Technical analysis has been a part of financial practice for many decades. One of the most challenging areas in technical analysis is the automatic...
    Ming Dong, Xu-Shen Zhou in Computational Intelligence for Modelling and Prediction
    Chapter

  7. Multiple Feature Relevance Feedback in Content- Based Image Retrieval using Probabilistic Inference Networks

    The BIR content based image retrieval system uses a Bayesian belief network architecture to match query by example images to images in a database....
    Campbell Wilson, Bala Srinivasan in Computational Intelligence for Modelling and Prediction
    Chapter

  8. Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning

    In this article we propose the use of intuitionistic fuzzy sets (Atanassov [2]) as a tool for reasoning under imperfect facts and imprecise...
    Eulalia Szmidt, Janusz Kacprzyk in Computational Intelligence for Modelling and Prediction
    Chapter

  9. On The Generalization of Fuzzy Rough Approximation Based on Asymmetric Relation

    An asymmetric relation, called a weak similarity relation, is introduced as a more realistic relation in representing the relationship between two...
    Rolly Intan, Masao Mukaidono in Computational Intelligence for Modelling and Prediction
    Chapter

  10. Connectionist Fuzzy Relational Systems

    There have been an enormous number of fuzzy systems developed so far. For excellent surveys the reader is referred to [1][3][5][7][9][10][18][19]....
    Rafał Scherer, Leszek Rutkowski in Computational Intelligence for Modelling and Prediction
    Chapter

  11. Fuzzy Logic Control in Hybrid Power Systems

    In this chapter the dynamic analysis of a hybrid power system, employing diesel and locally available wind and solar energies, is discussed and...
    Josiah Munda, Sadao Asato, Hayao Miyagi in Computational Intelligence for Modelling and Prediction
    Chapter

  12. The Many Faces of a Kohonen Map A Case Study: SOM-based Clustering for On-Line Fraud Behavior Classification

    The Self-Organizing Map (SOM) is an excellent tool for exploratory data analysis. It projects the input space on prototypes of a low-dimensional...
    V. Lemaire, F. Clérot in Classification and Clustering for Knowledge Discovery
    Chapter

  13. Data Mining and User Profiling for an E-Commerce System

    Many companies are now develo** an online internet presence to sell or promote their products and services. The data generated by e-commerce sites...
    Ken McGarry, Andrew Martin, Dale Addison in Classification and Clustering for Knowledge Discovery
    Chapter

  14. Discovery of Fuzzy Multiple-Level Web Browsing Patterns

    Web usage mining is the application of data mining techniques to discover usage patterns from web data. It can be used to better understand web usage...
    Shyue-Liang Wang, Wei-Shuo Lo, Tzung-Pei Hong in Classification and Clustering for Knowledge Discovery
    Chapter

  15. Comparison Between Five Classifiers for Automatic Scoring of Human Sleep Recordings

    The aim of this work is to compare the performances of 5 classifiers (linear and quadratic classifiers, k nearest neighbors, Parzen kernels and...
    Guillaume Becq, Sylvie Charbonnier, ... Pierre Baconnier in Classification and Clustering for Knowledge Discovery
    Chapter

  16. A Probabilistic Approach to Mining Fuzzy Frequent Patterns

    Deriving association rules is a typical task in data mining. The problem was originally defined for transactions of discrete items, but it was soon...
    Attila Gyenesei, Jukka Teuhola in Classification and Clustering for Knowledge Discovery
    Chapter

  17. Measuring User Satisfaction in Web Searching

    Search engines are among the most popular as well as useful services on the web. But the problem we face is due to the large number of search engines...
    M. M. Sufyan Beg, Nesar Ahmad in Computational Intelligence for Modelling and Prediction
    Chapter

  18. A Fuzzy Method for Learning Simple Boolean Formulas from Examples

    We discuss a method for inferring Boolean functions from examples. The method is inherently fuzzy in two respects: i) we work with a pair of formulas...
    Bruno Apolloni, Andrea Brega, ... Anna Maria Zanaboni in Computational Intelligence for Modelling and Prediction
    Chapter

  19. Soft Computing Paradigms for Web Access Pattern Analysis

    Web servers play a crucial role to convey knowledge and information to the end users. With the popularity of the WWW, discovering the hidden...
    **aozhe Wang, Ajith Abraham, Kate A. Smith in Classification and Clustering for Knowledge Discovery
    Chapter

  20. Ontology-based Fuzzy Decision Agent and Its Application to Meeting Scheduling Support System

    A Fuzzy Decision Agent (FDA) based on personal ontology for Meeting Scheduling Support System (MSSS) is proposed in this chapter. In this system,...
    Chang-Shing Lee, Hei-Chia Wang, Meng-Ju Chang in Classification and Clustering for Knowledge Discovery
    Chapter
Did you find what you were looking for? Share feedback.