Application of delay-dynamical systems to machine learning:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
2021
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | 106 Seiten Illustrationen, Diagramme (farbig) |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV048246053 | ||
| 003 | DE-604 | ||
| 005 | 20220906 | ||
| 007 | t | ||
| 008 | 220530s2021 gw a||| m||| 00||| eng d | ||
| 016 | 7 | |a 1250182875 |2 DE-101 | |
| 035 | |a (OCoLC)1322802361 | ||
| 035 | |a (DE-599)DNB1250182875 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a gw |c XA-DE | ||
| 049 | |a DE-11 |a DE-706 | ||
| 084 | |a SK 810 |0 (DE-625)143257: |2 rvk | ||
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 100 | 1 | |a Stelzer, Florian |e Verfasser |0 (DE-588)1258737531 |4 aut | |
| 245 | 1 | 0 | |a Application of delay-dynamical systems to machine learning |c von M. Sc. Florian Stelzer |
| 264 | 1 | |a Berlin |c 2021 | |
| 300 | |a 106 Seiten |b Illustrationen, Diagramme (farbig) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 502 | |b Dissertation |c Humboldt-Universität zu Berlin |d 2021 | ||
| 546 | |a Zusammenfassung in deutsch und englischer Sprache | ||
| 650 | 0 | 7 | |a Dynamisches System |0 (DE-588)4013396-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 1 | |a Dynamisches System |0 (DE-588)4013396-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 856 | 4 | 2 | |m B:DE-101 |q application/pdf |u https://d-nb.info/1250182875/04 |3 Inhaltsverzeichnis |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033626437&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033626437 | ||
Datensatz im Suchindex
| _version_ | 1804184038984908800 |
|---|---|
| adam_text | CONTENTS
1.
INTRODUCTION
11
1.
MOTIVATION
11
2.
DYNAMICAL
SYSTEMS
AND
THEIR
APPLICATIONS
13
3.
MACHINE
LEARNING
18
4.
RESERVOIR
COMPUTING
24
5.
CONTRIBUTION
OF
THIS
WORK
26
2.
EMULATING
COMPLEX
NETWORKS
WITH
A
SINGLE
DELAY
DIFFERENTIAL
EQUATION
29
1.
INTRODUCTION
29
2.
FROM
DELAY
SYSTEMS
TO
MULTILAYER
FEED-FORWARD
NETWORKS
30
3.
CONSTRUCTING
A
RECURRENT
NEURAL
NETWORK
FROM
A
DELAY
SYSTEM
36
4.
NETWORKS
FROM
DELAY
SYSTEMS
WITH
LINEAR
INSTANTANEOUS
PART
AND
NONLINEAR
DELAYED
FEEDBACK
37
5.
CONCLUSIONS
39
3.
PERFORMANCE
BOOST
OF
TIME-DELAY
RESERVOIR
COMPUTING
BY
NON-RESONANT
CLOCK
CYCLE
41
1.
INTRODUCTION
41
2.
TIME-DELAY
RESERVOIR
COMPUTING
43
3.
EFFECT
OF
THE
MISMATCH
BETWEEN
DELAY
AND
CLOCK
CYCLE
TIMES
45
4.
APPROXIMATION
BY
A
NETWORK
47
5.
DIRECT
CALCULATION
OF
MEMORY
CAPACITY
50
6.
EXPLANATION
FOR
MEMORY
CAPACITY
GAPS
51
7.
DISCUSSION
55
8.
APPENDIX
55
4.
DEEP
NEURAL
NETWORKS
USING
A
SINGLE
NEURON:
FOLDED-IN-TIME
ARCHITECTURE
USING
FEEDBACK-MODULATED
DELAY
LOOPS
65
1.
INTRODUCTION
65
2.
RESULTS
67
3.
DISCUSSION
73
4.
METHODS
76
5.
SUPPLEMENTARY
INFORMATION
81
BIBLIOGRAPHY
95
|
| adam_txt |
CONTENTS
1.
INTRODUCTION
11
1.
MOTIVATION
11
2.
DYNAMICAL
SYSTEMS
AND
THEIR
APPLICATIONS
13
3.
MACHINE
LEARNING
18
4.
RESERVOIR
COMPUTING
24
5.
CONTRIBUTION
OF
THIS
WORK
26
2.
EMULATING
COMPLEX
NETWORKS
WITH
A
SINGLE
DELAY
DIFFERENTIAL
EQUATION
29
1.
INTRODUCTION
29
2.
FROM
DELAY
SYSTEMS
TO
MULTILAYER
FEED-FORWARD
NETWORKS
30
3.
CONSTRUCTING
A
RECURRENT
NEURAL
NETWORK
FROM
A
DELAY
SYSTEM
36
4.
NETWORKS
FROM
DELAY
SYSTEMS
WITH
LINEAR
INSTANTANEOUS
PART
AND
NONLINEAR
DELAYED
FEEDBACK
37
5.
CONCLUSIONS
39
3.
PERFORMANCE
BOOST
OF
TIME-DELAY
RESERVOIR
COMPUTING
BY
NON-RESONANT
CLOCK
CYCLE
41
1.
INTRODUCTION
41
2.
TIME-DELAY
RESERVOIR
COMPUTING
43
3.
EFFECT
OF
THE
MISMATCH
BETWEEN
DELAY
AND
CLOCK
CYCLE
TIMES
45
4.
APPROXIMATION
BY
A
NETWORK
47
5.
DIRECT
CALCULATION
OF
MEMORY
CAPACITY
50
6.
EXPLANATION
FOR
MEMORY
CAPACITY
GAPS
51
7.
DISCUSSION
55
8.
APPENDIX
55
4.
DEEP
NEURAL
NETWORKS
USING
A
SINGLE
NEURON:
FOLDED-IN-TIME
ARCHITECTURE
USING
FEEDBACK-MODULATED
DELAY
LOOPS
65
1.
INTRODUCTION
65
2.
RESULTS
67
3.
DISCUSSION
73
4.
METHODS
76
5.
SUPPLEMENTARY
INFORMATION
81
BIBLIOGRAPHY
95 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Stelzer, Florian |
| author_GND | (DE-588)1258737531 |
| author_facet | Stelzer, Florian |
| author_role | aut |
| author_sort | Stelzer, Florian |
| author_variant | f s fs |
| building | Verbundindex |
| bvnumber | BV048246053 |
| classification_rvk | SK 810 ST 300 |
| ctrlnum | (OCoLC)1322802361 (DE-599)DNB1250182875 |
| discipline | Informatik Mathematik |
| discipline_str_mv | Informatik Mathematik |
| format | Thesis Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01695nam a2200409 c 4500</leader><controlfield tag="001">BV048246053</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220906 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">220530s2021 gw a||| m||| 00||| eng d</controlfield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1250182875</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1322802361</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1250182875</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-11</subfield><subfield code="a">DE-706</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 810</subfield><subfield code="0">(DE-625)143257:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Stelzer, Florian</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1258737531</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Application of delay-dynamical systems to machine learning</subfield><subfield code="c">von M. Sc. Florian Stelzer</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">106 Seiten</subfield><subfield code="b">Illustrationen, Diagramme (farbig)</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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Humboldt-Universität zu Berlin</subfield><subfield code="d">2021</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">Zusammenfassung in deutsch und englischer Sprache</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Dynamisches System</subfield><subfield code="0">(DE-588)4013396-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Dynamisches System</subfield><subfield code="0">(DE-588)4013396-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">B:DE-101</subfield><subfield code="q">application/pdf</subfield><subfield code="u">https://d-nb.info/1250182875/04</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">DNB Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033626437&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033626437</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV048246053 |
| illustrated | Illustrated |
| index_date | 2024-07-03T19:55:49Z |
| indexdate | 2024-07-10T09:33:00Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033626437 |
| oclc_num | 1322802361 |
| open_access_boolean | |
| owner | DE-11 DE-706 |
| owner_facet | DE-11 DE-706 |
| physical | 106 Seiten Illustrationen, Diagramme (farbig) |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| record_format | marc |
| spelling | Stelzer, Florian Verfasser (DE-588)1258737531 aut Application of delay-dynamical systems to machine learning von M. Sc. Florian Stelzer Berlin 2021 106 Seiten Illustrationen, Diagramme (farbig) txt rdacontent n rdamedia nc rdacarrier Dissertation Humboldt-Universität zu Berlin 2021 Zusammenfassung in deutsch und englischer Sprache Dynamisches System (DE-588)4013396-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Maschinelles Lernen (DE-588)4193754-5 s Dynamisches System (DE-588)4013396-5 s DE-604 B:DE-101 application/pdf https://d-nb.info/1250182875/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033626437&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Stelzer, Florian Application of delay-dynamical systems to machine learning Dynamisches System (DE-588)4013396-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4013396-5 (DE-588)4193754-5 (DE-588)4113937-9 |
| title | Application of delay-dynamical systems to machine learning |
| title_auth | Application of delay-dynamical systems to machine learning |
| title_exact_search | Application of delay-dynamical systems to machine learning |
| title_exact_search_txtP | Application of delay-dynamical systems to machine learning |
| title_full | Application of delay-dynamical systems to machine learning von M. Sc. Florian Stelzer |
| title_fullStr | Application of delay-dynamical systems to machine learning von M. Sc. Florian Stelzer |
| title_full_unstemmed | Application of delay-dynamical systems to machine learning von M. Sc. Florian Stelzer |
| title_short | Application of delay-dynamical systems to machine learning |
| title_sort | application of delay dynamical systems to machine learning |
| topic | Dynamisches System (DE-588)4013396-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Dynamisches System Maschinelles Lernen Hochschulschrift |
| url | https://d-nb.info/1250182875/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033626437&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT stelzerflorian applicationofdelaydynamicalsystemstomachinelearning |
Es ist kein Print-Exemplar vorhanden.
Inhaltsverzeichnis