Flexible Neuro-Fuzzy Systems: Structures, Learning and Performance Evaluation
Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2004
|
| Schriftenreihe: | The International Series in Engineering and Computer Science
771 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering |
| Beschreibung: | 1 Online-Ressource (XIII, 279 p) |
| ISBN: | 9781402080432 |
| DOI: | 10.1007/b115533 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV045148669 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 180827s2004 |||| o||u| ||||||eng d | ||
| 020 | |a 9781402080432 |9 978-1-4020-8043-2 | ||
| 024 | 7 | |a 10.1007/b115533 |2 doi | |
| 035 | |a (ZDB-2-ENG)978-1-4020-8043-2 | ||
| 035 | |a (OCoLC)1050936775 | ||
| 035 | |a (DE-599)BVBBV045148669 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-573 |a DE-634 | ||
| 082 | 0 | |a 006.3 |2 23 | |
| 100 | 1 | |a Rutkowski, Leszek |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Flexible Neuro-Fuzzy Systems |b Structures, Learning and Performance Evaluation |c by Leszek Rutkowski |
| 264 | 1 | |a Boston, MA |b Springer US |c 2004 | |
| 300 | |a 1 Online-Ressource (XIII, 279 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a The International Series in Engineering and Computer Science |v 771 | |
| 520 | |a Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering | ||
| 650 | 4 | |a Computer Science | |
| 650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
| 650 | 4 | |a Mathematical Logic and Foundations | |
| 650 | 4 | |a Systems Theory, Control | |
| 650 | 4 | |a Computer science | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a System theory | |
| 650 | 4 | |a Mathematical logic | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781402080425 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/b115533 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-ENG | ||
| 940 | 1 | |q ZDB-2-ENG_2000/2004 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030538368 | ||
| 966 | e | |u https://doi.org/10.1007/b115533 |l FHI01 |p ZDB-2-ENG |q ZDB-2-ENG_2000/2004 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/b115533 |l BTU01 |p ZDB-2-ENG |q ZDB-2-ENG_Archiv |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804178819026780160 |
|---|---|
| any_adam_object | |
| author | Rutkowski, Leszek |
| author_facet | Rutkowski, Leszek |
| author_role | aut |
| author_sort | Rutkowski, Leszek |
| author_variant | l r lr |
| building | Verbundindex |
| bvnumber | BV045148669 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-1-4020-8043-2 (OCoLC)1050936775 (DE-599)BVBBV045148669 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/b115533 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02925nmm a2200481zcb4500</leader><controlfield tag="001">BV045148669</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180827s2004 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781402080432</subfield><subfield code="9">978-1-4020-8043-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/b115533</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)978-1-4020-8043-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1050936775</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045148669</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-573</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rutkowski, Leszek</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Flexible Neuro-Fuzzy Systems</subfield><subfield code="b">Structures, Learning and Performance Evaluation</subfield><subfield code="c">by Leszek Rutkowski</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boston, MA</subfield><subfield code="b">Springer US</subfield><subfield code="c">2004</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIII, 279 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">The International Series in Engineering and Computer Science</subfield><subfield code="v">771</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence (incl. Robotics)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical Logic and Foundations</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Systems Theory, Control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">System theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical logic</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781402080425</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/b115533</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-ENG_2000/2004</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030538368</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/b115533</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_2000/2004</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/b115533</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV045148669 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:01Z |
| institution | BVB |
| isbn | 9781402080432 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538368 |
| oclc_num | 1050936775 |
| open_access_boolean | |
| owner | DE-573 DE-634 |
| owner_facet | DE-573 DE-634 |
| physical | 1 Online-Ressource (XIII, 279 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Springer US |
| record_format | marc |
| series2 | The International Series in Engineering and Computer Science |
| spelling | Rutkowski, Leszek Verfasser aut Flexible Neuro-Fuzzy Systems Structures, Learning and Performance Evaluation by Leszek Rutkowski Boston, MA Springer US 2004 1 Online-Ressource (XIII, 279 p) txt rdacontent c rdamedia cr rdacarrier The International Series in Engineering and Computer Science 771 Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Systems Theory, Control Computer science Artificial intelligence System theory Mathematical logic Erscheint auch als Druck-Ausgabe 9781402080425 https://doi.org/10.1007/b115533 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Rutkowski, Leszek Flexible Neuro-Fuzzy Systems Structures, Learning and Performance Evaluation Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Systems Theory, Control Computer science Artificial intelligence System theory Mathematical logic |
| title | Flexible Neuro-Fuzzy Systems Structures, Learning and Performance Evaluation |
| title_auth | Flexible Neuro-Fuzzy Systems Structures, Learning and Performance Evaluation |
| title_exact_search | Flexible Neuro-Fuzzy Systems Structures, Learning and Performance Evaluation |
| title_full | Flexible Neuro-Fuzzy Systems Structures, Learning and Performance Evaluation by Leszek Rutkowski |
| title_fullStr | Flexible Neuro-Fuzzy Systems Structures, Learning and Performance Evaluation by Leszek Rutkowski |
| title_full_unstemmed | Flexible Neuro-Fuzzy Systems Structures, Learning and Performance Evaluation by Leszek Rutkowski |
| title_short | Flexible Neuro-Fuzzy Systems |
| title_sort | flexible neuro fuzzy systems structures learning and performance evaluation |
| title_sub | Structures, Learning and Performance Evaluation |
| topic | Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Systems Theory, Control Computer science Artificial intelligence System theory Mathematical logic |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Systems Theory, Control Computer science Artificial intelligence System theory Mathematical logic |
| url | https://doi.org/10.1007/b115533 |
| work_keys_str_mv | AT rutkowskileszek flexibleneurofuzzysystemsstructureslearningandperformanceevaluation |