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Artificial Neural Network Approach to Eye Color Forecasting

Permanent Link: http://ncf.sobek.ufl.edu/NCFE003287/00001

Material Information

Title: Artificial Neural Network Approach to Eye Color Forecasting
Physical Description: Book
Language: English
Creator: Ranov, Kalin
Publisher: New College of Florida
Place of Publication: Sarasota, Fla.
Creation Date: 2003
Publication Date: 2003

Subjects

Subjects / Keywords: Neural Networks
Artificial Intelligence
Eye Color Forecasting
DNA
Genre: bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, terriorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract: The prediction of physical characteristics from a DNA sample is one of the major topics of interest in the field of forensic science. The creation of an effective tool for classifying DNA samples according to eye color is a specific example of a problem of interest. Artificial Intelligence offers approach to dealing with the eye color forecasting problem. In particular, Artificial Neural Networks (ANN) offer the robustness and durability that is desired when dealing with partial or noisy data, an unfavorable characteristic of genetic analysis, and a central feature of the forecasting problem. The main aim of this work is to investigate the benefits and drawbacks in the use of ANN as a DNA analysis tool in predicting eye color. For that purpose an ANN will be constructed and trained implementing a Backpropagation Algorithm. Pre-sequenced DNA samples will be used during the training process that will allow for an extraction of the information necessary for predicting eye color.
Statement of Responsibility: by Kalin Ranov
Thesis: Thesis (B.A.) -- New College of Florida, 2003
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; Mullins, David

Record Information

Source Institution: New College of Florida
Holding Location: New College of Florida
Rights Management: Applicable rights reserved.
Classification: local - S.T. 2003 R2
System ID: NCFE003287:00001

Permanent Link: http://ncf.sobek.ufl.edu/NCFE003287/00001

Material Information

Title: Artificial Neural Network Approach to Eye Color Forecasting
Physical Description: Book
Language: English
Creator: Ranov, Kalin
Publisher: New College of Florida
Place of Publication: Sarasota, Fla.
Creation Date: 2003
Publication Date: 2003

Subjects

Subjects / Keywords: Neural Networks
Artificial Intelligence
Eye Color Forecasting
DNA
Genre: bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, terriorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract: The prediction of physical characteristics from a DNA sample is one of the major topics of interest in the field of forensic science. The creation of an effective tool for classifying DNA samples according to eye color is a specific example of a problem of interest. Artificial Intelligence offers approach to dealing with the eye color forecasting problem. In particular, Artificial Neural Networks (ANN) offer the robustness and durability that is desired when dealing with partial or noisy data, an unfavorable characteristic of genetic analysis, and a central feature of the forecasting problem. The main aim of this work is to investigate the benefits and drawbacks in the use of ANN as a DNA analysis tool in predicting eye color. For that purpose an ANN will be constructed and trained implementing a Backpropagation Algorithm. Pre-sequenced DNA samples will be used during the training process that will allow for an extraction of the information necessary for predicting eye color.
Statement of Responsibility: by Kalin Ranov
Thesis: Thesis (B.A.) -- New College of Florida, 2003
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; Mullins, David

Record Information

Source Institution: New College of Florida
Holding Location: New College of Florida
Rights Management: Applicable rights reserved.
Classification: local - S.T. 2003 R2
System ID: NCFE003287:00001

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