Material Information |
| Title: |
Impact of Redundant Data on Evolution of Neural Networks |
| Physical Description: |
Book |
| Language: |
English |
| Creator: |
Burroughs, Joshua |
| Publisher: |
New College of Florida |
| Place of Publication: |
Sarasota, Fla. |
| Creation Date: |
2005 |
| Publication Date: |
2005 |
Subjects |
| Subjects / Keywords: |
Neural Networks
Genetic Algorithm
Degenerate Code |
| Genre: |
bibliography ( marcgt )
theses ( marcgt )
government publication (state, provincial, terriorial, dependent) ( marcgt )
born-digital ( sobekcm )
Electronic Thesis or Dissertation |
Notes |
| Abstract: |
Algorithms were developed and implemented to encode a population of neural networks as 'digital genomes'. After training, the population is tested, a high performance subpopulation is selected, and individuals of the selected subpopulation are bred. Subject to this routine, neural networks were observed to develop topologies specific to the problem under evaluation. Evolutionary outcomes were studied as a function of the degree of degeneracy in the genetic coding, by statistical analysis of over 4,000 evolutionary experiments. |
| Statement of Responsibility: |
by Joshua Burroughs |
| Thesis: |
Thesis (B.A.) -- New College of Florida, 2005 |
| Supplements: |
Accompanying materials: Includes 1 CD-ROM. |
| Electronic Access: |
RESTRICTED TO NCF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE |
| Bibliography: |
Includes bibliographical references. |
| Source of Description: |
This bibliographic record is available under the Creative Commons CC0 public domain dedication. The New College of Florida, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. |
| Local: |
Faculty Sponsor: MacDonald, Patrick |
Record Information |
| Source Institution: |
New College of Florida |
| Holding Location: |
New College of Florida |
| Rights Management: |
Applicable rights reserved. |
| Classification: |
local - S.T. 2005 B97 |
| System ID: |
NCFE003487:00001 |
|
Material Information |
| Title: |
Impact of Redundant Data on Evolution of Neural Networks |
| Physical Description: |
Book |
| Language: |
English |
| Creator: |
Burroughs, Joshua |
| Publisher: |
New College of Florida |
| Place of Publication: |
Sarasota, Fla. |
| Creation Date: |
2005 |
| Publication Date: |
2005 |
Subjects |
| Subjects / Keywords: |
Neural Networks
Genetic Algorithm
Degenerate Code |
| Genre: |
bibliography ( marcgt )
theses ( marcgt )
government publication (state, provincial, terriorial, dependent) ( marcgt )
born-digital ( sobekcm )
Electronic Thesis or Dissertation |
Notes |
| Abstract: |
Algorithms were developed and implemented to encode a population of neural networks as 'digital genomes'. After training, the population is tested, a high performance subpopulation is selected, and individuals of the selected subpopulation are bred. Subject to this routine, neural networks were observed to develop topologies specific to the problem under evaluation. Evolutionary outcomes were studied as a function of the degree of degeneracy in the genetic coding, by statistical analysis of over 4,000 evolutionary experiments. |
| Statement of Responsibility: |
by Joshua Burroughs |
| Thesis: |
Thesis (B.A.) -- New College of Florida, 2005 |
| Supplements: |
Accompanying materials: Includes 1 CD-ROM. |
| Electronic Access: |
RESTRICTED TO NCF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE |
| Bibliography: |
Includes bibliographical references. |
| Source of Description: |
This bibliographic record is available under the Creative Commons CC0 public domain dedication. The New College of Florida, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. |
| Local: |
Faculty Sponsor: MacDonald, Patrick |
Record Information |
| Source Institution: |
New College of Florida |
| Holding Location: |
New College of Florida |
| Rights Management: |
Applicable rights reserved. |
| Classification: |
local - S.T. 2005 B97 |
| System ID: |
NCFE003487:00001 |
|