東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Soft computing approach to pattern c...

Ray, Kumar S.{me_controlnum}

FindBook

Google Book

Amazon

博客來

Soft computing approach to pattern classification and object recognition = a unified concept /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soft computing approach to pattern classification and object recognition/ by Kumar S. Ray.
其他題名:	a unified concept /
作者:	Ray, Kumar S.{me_controlnum}
出版者:	New York, NY :Springer New York : : 2012.,
面頁冊數:	xii, 173 p. :ill., digital ;24 cm.
內容註:	Soft Computing Approach to Pattern Classification and Object Recognition -- Pattern Classification Based on Conventional Interpretation of MFI -- Pattern Classification Based on New Interpretation of MFI -- Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm -- Neuro-Genetic Approach To Pattern Classification Based on the New Interpretation of MFI -- Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Genetic Algorithm -- Neuro-fuzzy Approach to Occluded Object Recognition Based on the New Interpretation of MFI.
Contained By:	Springer eBooks
標題:	Pattern perception. -
電子資源:	http://dx.doi.org/10.1007/978-1-4614-5348-2
ISBN:	9781461453482 (electronic bk.)

Soft computing approach to pattern classification and object recognition = a unified concept /
Ray, Kumar S.{me_controlnum}

Soft computing approach to pattern classification and object recognitiona unified concept /[electronic resource] :by Kumar S. Ray. - New York, NY :Springer New York :2012. - xii, 173 p. :ill., digital ;24 cm.

Soft Computing Approach to Pattern Classification and Object Recognition -- Pattern Classification Based on Conventional Interpretation of MFI -- Pattern Classification Based on New Interpretation of MFI -- Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm -- Neuro-Genetic Approach To Pattern Classification Based on the New Interpretation of MFI -- Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Genetic Algorithm -- Neuro-fuzzy Approach to Occluded Object Recognition Based on the New Interpretation of MFI.

Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition. The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algorithm (GA) and multilayer perceptron (MLP) to provide a strong foundation for the reader. The supervised approach to pattern classification and model-based approach to occluded object recognition are treated in one framework , one based on either a conventional interpretation or a new interpretation of multidimensional fuzzy implication (MFI) and a novel notion of fuzzy pattern vector (FPV). By combining practice and theory, a completely independent design methodology was developed in conjunction with this supervised approach on a unified framework, and then tested thoroughly against both synthetic and real-life data. In the field of soft computing, such an application-oriented design study is unique in nature. The monograph essentially mimics the cognitive process of human decision making, and carries a message of perceptual integrity in representational diversity. Soft Computing Approach to Pattern Classification and Object Recognition is intended for researchers in the area of pattern classification and computer vision. Other academics and practitioners will also find the book valuable.

ISBN: 9781461453482 (electronic bk.)Subjects--Topical Terms:

649387
Pattern perception.

LC Class. No.: Q327 / .R39 2012

Dewey Class. No.: 006.4

Soft computing approach to pattern classification and object recognition = a unified concept /
LDR:02870nmm a2200277 a 4500 001 1329201
003 DE-He213
005 20121113140340.0
006 m d
007 cr nn 008maaau
008 130207s2012 nyu s 0 eng d
020 $a 9781461453482 (electronic bk.)
020 $a 9781461453475 (paper)
035 $a 978-1-4614-5348-2
040 $a GP $c GP
041 0 $a eng
050 4 $a Q327 $b .R39 2012
082 0 4 $a 006.4 $2 23
090 $a Q327 $b .R111 2012
100 1 $a Ray, Kumar S.{me_controlnum} $3 1620905
245 1 0 $a Soft computing approach to pattern classification and object recognition $h [electronic resource] : $b a unified concept / $c by Kumar S. Ray.
260 $a New York, NY : $b Springer New York : $b Imprint: Springer, $c 2012.
300 $a xii, 173 p. : $b ill., digital ; $c 24 cm.
505 0 $a Soft Computing Approach to Pattern Classification and Object Recognition -- Pattern Classification Based on Conventional Interpretation of MFI -- Pattern Classification Based on New Interpretation of MFI -- Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm -- Neuro-Genetic Approach To Pattern Classification Based on the New Interpretation of MFI -- Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Genetic Algorithm -- Neuro-fuzzy Approach to Occluded Object Recognition Based on the New Interpretation of MFI.
520 $a Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition. The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algorithm (GA) and multilayer perceptron (MLP) to provide a strong foundation for the reader. The supervised approach to pattern classification and model-based approach to occluded object recognition are treated in one framework , one based on either a conventional interpretation or a new interpretation of multidimensional fuzzy implication (MFI) and a novel notion of fuzzy pattern vector (FPV). By combining practice and theory, a completely independent design methodology was developed in conjunction with this supervised approach on a unified framework, and then tested thoroughly against both synthetic and real-life data. In the field of soft computing, such an application-oriented design study is unique in nature. The monograph essentially mimics the cognitive process of human decision making, and carries a message of perceptual integrity in representational diversity. Soft Computing Approach to Pattern Classification and Object Recognition is intended for researchers in the area of pattern classification and computer vision. Other academics and practitioners will also find the book valuable.
650 0 $a Pattern perception. $3 649387
650 0 $a Soft computing. $3 563033
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4614-5348-2
950 $a Computer Science (Springer-11645)