Rough-neural-computing : techniques for computing with words
著者
書誌事項
Rough-neural-computing : techniques for computing with words
(Cognitive technologies)
Springer, c2004
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others.
It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.
目次
1 Elementary Rough Set Granules: Toward a Rough Set Processor.- 2 Rough-Neural Computing: An Introduction.- 3 Information Granules and Rough-Neural Computing.- 4 A Rough-Neural Computation Model Based on Rough Mereology.- 5 Knowledge-Based Networking in Granular Worlds.- 6 Adaptive Aspects of Combining Approximation Spaces.- 7 Algebras from Rough Sets.- 8 Approximation Transducers and Trees: A Technique for Combining Rough and Crisp Knowledge.- 9 Using Contextually Closed Queries for Local Closed-World Reasoning in Rough Knowledge Databases.- 10 On Model Evaluation, Indexes of Importance, and Interaction Values in Rough Set Analysis.- 11 New Fuzzy Rough Sets Based on Certainty Qualification.- 12 Toward Rough Datalog: Embedding Rough Sets in Prolog.- 13 On Exploring Soft Discretization of Continuous Attributes.- 14 Rough-SOM with Fuzzy Discretization.- 15 Biomedical Inference: A Semantic Model.- 16 Fundamental Mathematical Notions of the Theory of Socially Embedded Games: A Granular Computing Perspective.- 17 Fuzzy Games and Equilibria: The Perspective of the General Theory of Games on Nash and Normative Equilibria.- 18 Rough Neurons: Petri Net Models and Applications.- 19 Information Granulation in a Decision-Theoretical Model of Rough Sets.- 20 Intelligent Acquisition of Audio Signals Employing Neural Networks and Rough Set Algorithms.- 21 An Approach to Imbalanced Data Sets Based on Changing Rule Strength.- 22 Rough-Neural Approach to Testing the Influence of Visual Cues on Surround Sound Perception.- 23 Handwritten Digit Recognition Using Adaptive Classifier Construction Techniques.- 24 From Rough through Fuzzy to Crisp Concepts: Case Study on Image Color Temperature Description.- 25 Information Granulation and Pattern Recognition.- 26 Computational Analysis of Acquired Dyslexia of Kanji Characters Based on Conventional and Rough Neural Networks.- 27 WaRS: A Method for Signal Classification.- 28 A Hybrid Model for Rule Discovery in Data.- Author Index.
「Nielsen BookData」 より