Cognitive Techniques in Visual Data Interpretation Cognitive Techniques in Visual Data Interpretation

Cognitive Techniques in Visual Data Interpretation

    • US$199.99
    • US$199.99

출판사 설명

The emergence of lattice theory within the field of computational intelligence (CI) is partially due to its proven effectiveness in neural computation. Moreover, lattice theory has the potential to unify a number of diverse concepts and aid in the cross-fertilization of both tools and ideas within the numerous subfields of CI. The compilation of this eighteen-chapter book is an initiative towards proliferating established knowledge in the hope to further expand it. This edited book is a balanced synthesis of four parts emphasizing, in turn, neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The articles here demonstrate how lattice theory may suggest viable alternatives in practical clustering, classification, pattern analysis, and regression applications.

장르
컴퓨터 및 인터넷
출시일
2007년
6월 26일
언어
EN
영어
길이
391
페이지
출판사
Springer Berlin Heidelberg
판매자
Springer Nature B.V.
크기
16.8
MB
Recent Advances in Computational Optimization Recent Advances in Computational Optimization
2007년
Computational Intelligence, Theory and Applications Computational Intelligence, Theory and Applications
2006년
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
2011년
Artificial Intelligence and Soft Computing Artificial Intelligence and Soft Computing
2010년
Fuzzy Logic and Applications Fuzzy Logic and Applications
2011년
Foundations of Fuzzy Logic and Soft Computing Foundations of Fuzzy Logic and Soft Computing
2007년