Soft Computing and Fractal Theory for Intelligent Manufacturing:
We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligen...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg
Physica-Verlag HD
2003
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
117 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory |
| Beschreibung: | 1 Online-Ressource (XIV, 283 p) |
| ISBN: | 9783790817669 |
| DOI: | 10.1007/978-3-7908-1766-9 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV045149518 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 180827s2003 |||| o||u| ||||||eng d | ||
| 020 | |a 9783790817669 |9 978-3-7908-1766-9 | ||
| 024 | 7 | |a 10.1007/978-3-7908-1766-9 |2 doi | |
| 035 | |a (ZDB-2-ENG)978-3-7908-1766-9 | ||
| 035 | |a (OCoLC)1050949561 | ||
| 035 | |a (DE-599)BVBBV045149518 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-573 |a DE-634 | ||
| 082 | 0 | |a 004.0151 |2 23 | |
| 100 | 1 | |a Castillo, Oscar |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Soft Computing and Fractal Theory for Intelligent Manufacturing |c by Oscar Castillo, Patricia Melin |
| 264 | 1 | |a Heidelberg |b Physica-Verlag HD |c 2003 | |
| 300 | |a 1 Online-Ressource (XIV, 283 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Studies in Fuzziness and Soft Computing |v 117 | |
| 520 | |a We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory | ||
| 650 | 4 | |a Computer Science | |
| 650 | 4 | |a Theory of Computation | |
| 650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
| 650 | 4 | |a Complexity | |
| 650 | 4 | |a Special Purpose and Application-Based Systems | |
| 650 | 4 | |a Industrial and Production Engineering | |
| 650 | 4 | |a Computer science | |
| 650 | 4 | |a Special purpose computers | |
| 650 | 4 | |a Computers | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Complexity, Computational | |
| 650 | 4 | |a Industrial engineering | |
| 650 | 4 | |a Production engineering | |
| 700 | 1 | |a Melin, Patricia |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783662002964 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-7908-1766-9 |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:BVB01-030539216 | ||
| 966 | e | |u https://doi.org/10.1007/978-3-7908-1766-9 |l FHI01 |p ZDB-2-ENG |q ZDB-2-ENG_2000/2004 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-7908-1766-9 |l BTU01 |p ZDB-2-ENG |q ZDB-2-ENG_Archiv |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804178821370347520 |
|---|---|
| any_adam_object | |
| author | Castillo, Oscar Melin, Patricia |
| author_facet | Castillo, Oscar Melin, Patricia |
| author_role | aut aut |
| author_sort | Castillo, Oscar |
| author_variant | o c oc p m pm |
| building | Verbundindex |
| bvnumber | BV045149518 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-3-7908-1766-9 (OCoLC)1050949561 (DE-599)BVBBV045149518 |
| dewey-full | 004.0151 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.0151 |
| dewey-search | 004.0151 |
| dewey-sort | 14.0151 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-7908-1766-9 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03613nmm a2200553zcb4500</leader><controlfield tag="001">BV045149518</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180827s2003 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783790817669</subfield><subfield code="9">978-3-7908-1766-9</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-7908-1766-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)978-3-7908-1766-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1050949561</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045149518</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">004.0151</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Castillo, Oscar</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Soft Computing and Fractal Theory for Intelligent Manufacturing</subfield><subfield code="c">by Oscar Castillo, Patricia Melin</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Heidelberg</subfield><subfield code="b">Physica-Verlag HD</subfield><subfield code="c">2003</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIV, 283 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">Studies in Fuzziness and Soft Computing</subfield><subfield code="v">117</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Theory of Computation</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">Complexity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Special Purpose and Application-Based Systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Industrial and Production 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">Special purpose computers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complexity, Computational</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Industrial engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Production engineering</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Melin, Patricia</subfield><subfield code="4">aut</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">9783662002964</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-7908-1766-9</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:BVB01-030539216</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-7908-1766-9</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/10.1007/978-3-7908-1766-9</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.BV045149518 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:04Z |
| institution | BVB |
| isbn | 9783790817669 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030539216 |
| oclc_num | 1050949561 |
| open_access_boolean | |
| owner | DE-573 DE-634 |
| owner_facet | DE-573 DE-634 |
| physical | 1 Online-Ressource (XIV, 283 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 | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | Physica-Verlag HD |
| record_format | marc |
| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Castillo, Oscar Verfasser aut Soft Computing and Fractal Theory for Intelligent Manufacturing by Oscar Castillo, Patricia Melin Heidelberg Physica-Verlag HD 2003 1 Online-Ressource (XIV, 283 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 117 We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory Computer Science Theory of Computation Artificial Intelligence (incl. Robotics) Complexity Special Purpose and Application-Based Systems Industrial and Production Engineering Computer science Special purpose computers Computers Artificial intelligence Complexity, Computational Industrial engineering Production engineering Melin, Patricia aut Erscheint auch als Druck-Ausgabe 9783662002964 https://doi.org/10.1007/978-3-7908-1766-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Castillo, Oscar Melin, Patricia Soft Computing and Fractal Theory for Intelligent Manufacturing Computer Science Theory of Computation Artificial Intelligence (incl. Robotics) Complexity Special Purpose and Application-Based Systems Industrial and Production Engineering Computer science Special purpose computers Computers Artificial intelligence Complexity, Computational Industrial engineering Production engineering |
| title | Soft Computing and Fractal Theory for Intelligent Manufacturing |
| title_auth | Soft Computing and Fractal Theory for Intelligent Manufacturing |
| title_exact_search | Soft Computing and Fractal Theory for Intelligent Manufacturing |
| title_full | Soft Computing and Fractal Theory for Intelligent Manufacturing by Oscar Castillo, Patricia Melin |
| title_fullStr | Soft Computing and Fractal Theory for Intelligent Manufacturing by Oscar Castillo, Patricia Melin |
| title_full_unstemmed | Soft Computing and Fractal Theory for Intelligent Manufacturing by Oscar Castillo, Patricia Melin |
| title_short | Soft Computing and Fractal Theory for Intelligent Manufacturing |
| title_sort | soft computing and fractal theory for intelligent manufacturing |
| topic | Computer Science Theory of Computation Artificial Intelligence (incl. Robotics) Complexity Special Purpose and Application-Based Systems Industrial and Production Engineering Computer science Special purpose computers Computers Artificial intelligence Complexity, Computational Industrial engineering Production engineering |
| topic_facet | Computer Science Theory of Computation Artificial Intelligence (incl. Robotics) Complexity Special Purpose and Application-Based Systems Industrial and Production Engineering Computer science Special purpose computers Computers Artificial intelligence Complexity, Computational Industrial engineering Production engineering |
| url | https://doi.org/10.1007/978-3-7908-1766-9 |
| work_keys_str_mv | AT castillooscar softcomputingandfractaltheoryforintelligentmanufacturing AT melinpatricia softcomputingandfractaltheoryforintelligentmanufacturing |