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  • 1. COMP7570 T02 – NEURAL NETWORKSProject GuidelinesPrepare a report on one of the suggested topics listed below. Note that many of the topicsrepresent general areas; you must select a specific topic from within the general area, it is notacceptable to hand in a report that deals with many topics at a superficial level. You may selecta topic that is not on this list but you must check with the instructor in advance. In preparingyour report, you must read at least three relevant research papers or books.The report is to be prepared using a text-formatting system such as MS Word (handwritten ortyped reports will not be accepted). The format of the report must follow the standard formatused for research papers, that is, it must begin with an abstract that summarizes the report, anintroduction which describes the problem, one or more sections that describe the current statusof the research, and then a conclusions section which is followed by the references. There mustbe a section heading for each section; subsections would be useful if there is a naturalsubdivision of a section. The report is expected to be approximately 20-25 pages long andprinted with a 12-point font with 16-point to 18-point vertical spacing. Spelling errors are to beeliminated using a spell-checker. Page numbers are to be printed on the report. If necessary,diagrams may be xeroxed from the research papers but the source must be credited; diagramsmay be included on separate pages.All sources that you use must be cited: any time that you refer to material contained in a researchpaper or book (both direct quotations and paraphrases), include a citation to the publication.The citation format in the body of your report is to be [Winston] or, if you refer to more thanone publication by the same author, [Winston 1984]. The complete reference to the publicationis in the References section using the following format:[Winston] P.H. Winston, An Introduction to Artificial Intelligence, Second Edition, Addison- Wesley, 1984.Include in your bibliography only papers that you have read; do not include papers cited by thepapers you have read. You must include a copy (either printed or electronic) of each of the 3major papers that you used for your report.The report is to be handed in by the date assigned in class.Neural Networks October, 2011 1
  • 2. The reports are normally expected to consist of literature reviews. That is, the description of aproblem, the description of how a particular neural network solved the problem, an analysis ofthe results, and an examination of how the results could be improved/extended, etc.Staple the enclosed evaluation sheet on top of the report. It is not necessary to hand in the reportin a folder. The grade assigned for the report will be based on the presentation of the report(spelling, word choice, clarity, etc.), the organization of the report, the depth of the report, andyour contribution to the report. The reports will not be returned.Note: If the material in the report has been or will be used to fulfill the requirements of another course, or a thesis, or research, a statement to this effect must be included at the beginning of the paper. Failure to do so will result in academic penalties.The following publications provide a good starting point for the report topics: IJCNN: International Joint Conference on Neural Networks Neural Networks Neural Computation IEEE Transactions on Systems, Man, and Cybernetics IEEE Transactions on Signal Processing Artificial Intelligence, Science Library Cognitive Science, Dafoe Library ACM SIGART Newsletter, Science Library Other IEEE and ACM publications Specialty journals such as AI in Medicine are recommendedSeminars:The seminar is to consist of a short (approximately 10 minutes) presentation of your researchtopic and should include a sample system that is the focus of the seminar. The seminar materialis to be presented using PowerPoint (or a pdf version of your PowerPoint presentation displayedin pdf full-screen mode).The schedule for the seminars will be posted.Neural Networks October, 2011 2
  • 3. TOPICSLiterature Review• physiological modelling (e.g. modelling motor neurons in the spinal cord)• representation of time in neural nets• in-depth examination of a network model not covered in class (e.g. SOM, PNN, Art)• traveling salesman problem and its solution using neural networks• genetic algorithms and their use in the development of neural networks• use of neural networks in signal processing• use of neural networks in control systems• use of neural networks in image processing• improvements to backpropagation algorithm• neural networks that use reinforcement learning• use of neural networks in the more general context of machine learning• use of neural networks in speech understanding or speech generation• neural networks and diagnosis (e.g. psychiatric diagnosis using the DSM)• neural networks and decision making (e.g. financial decisions)• neural networks and expert systems (integration of the two approaches)• integration of neural networks and fuzzy logic• modular (ensemble) neural networks• deep learning in neural networks (see Hinton, Deep Belief Networks)System DevelopmentNormally, the research report will not involve any network development. If you are consideringa project that involves any implementation, you are to discuss this with the instructor beforebeginning.Neural Networks October, 2011 3
  • 4. COMP7570 T02 – NEURAL NETWORKS REPORT EVALUATION Name: Student Number: Report Title: Pages: Presentation: E VG G A P VP Organization: E VG G A P VP Depth: E VG G A P VP Originality: E VG G A P VP Grade: A+ A B+ B C+ C D FNeural Networks October, 2011 4
  • 5. COMP7570 T02 – NEURAL NETWORKSProject GuidelinesPrepare a report on one of the suggested topics listed below. Note that many of the topicsrepresent general areas; you must select a specific topic from within the general area, it is notacceptable to hand in a report that deals with many topics at a superficial level. You may selecta topic that is not on this list but you must check with the instructor in advance. In preparingyour report, you must read at least three relevant research papers or books.The report is to be prepared using a text-formatting system such as MS Word (handwritten ortyped reports will not be accepted). The format of the report must follow the standard formatused for research papers, that is, it must begin with an abstract that summarizes the report, anintroduction which describes the problem, one or more sections that describe the current statusof the research, and then a conclusions section which is followed by the references. There mustbe a section heading for each section; subsections would be useful if there is a naturalsubdivision of a section. The report is expected to be approximately 20-25 pages long andprinted with a 12-point font with 16-point to 18-point vertical spacing. Spelling errors are to beeliminated using a spell-checker. Page numbers are to be printed on the report. If necessary,diagrams may be xeroxed from the research papers but the source must be credited; diagramsmay be included on separate pages.All sources that you use must be cited: any time that you refer to material contained in a researchpaper or book (both direct quotations and paraphrases), include a citation to the publication.The citation format in the body of your report is to be [Winston] or, if you refer to more thanone publication by the same author, [Winston 1984]. The complete reference to the publicationis in the References section using the following format:[Winston] P.H. Winston, An Introduction to Artificial Intelligence, Second Edition, Addison- Wesley, 1984.Include in your bibliography only papers that you have read; do not include papers cited by thepapers you have read. You must include a copy (either printed or electronic) of each of the 3major papers that you used for your report.The report is to be handed in by the date assigned in class.Neural Networks October, 2011 1
  • 6. The reports are normally expected to consist of literature reviews. That is, the description of aproblem, the description of how a particular neural network solved the problem, an analysis ofthe results, and an examination of how the results could be improved/extended, etc.Staple the enclosed evaluation sheet on top of the report. It is not necessary to hand in the reportin a folder. The grade assigned for the report will be based on the presentation of the report(spelling, word choice, clarity, etc.), the organization of the report, the depth of the report, andyour contribution to the report. The reports will not be returned.Note: If the material in the report has been or will be used to fulfill the requirements of another course, or a thesis, or research, a statement to this effect must be included at the beginning of the paper. Failure to do so will result in academic penalties.The following publications provide a good starting point for the report topics: IJCNN: International Joint Conference on Neural Networks Neural Networks Neural Computation IEEE Transactions on Systems, Man, and Cybernetics IEEE Transactions on Signal Processing Artificial Intelligence, Science Library Cognitive Science, Dafoe Library ACM SIGART Newsletter, Science Library Other IEEE and ACM publications Specialty journals such as AI in Medicine are recommendedSeminars:The seminar is to consist of a short (approximately 10 minutes) presentation of your researchtopic and should include a sample system that is the focus of the seminar. The seminar materialis to be presented using PowerPoint (or a pdf version of your PowerPoint presentation displayedin pdf full-screen mode).The schedule for the seminars will be posted.Neural Networks October, 2011 2
  • 7. TOPICSLiterature Review• physiological modelling (e.g. modelling motor neurons in the spinal cord)• representation of time in neural nets• in-depth examination of a network model not covered in class (e.g. SOM, PNN, Art)• traveling salesman problem and its solution using neural networks• genetic algorithms and their use in the development of neural networks• use of neural networks in signal processing• use of neural networks in control systems• use of neural networks in image processing• improvements to backpropagation algorithm• neural networks that use reinforcement learning• use of neural networks in the more general context of machine learning• use of neural networks in speech understanding or speech generation• neural networks and diagnosis (e.g. psychiatric diagnosis using the DSM)• neural networks and decision making (e.g. financial decisions)• neural networks and expert systems (integration of the two approaches)• integration of neural networks and fuzzy logic• modular (ensemble) neural networks• deep learning in neural networks (see Hinton, Deep Belief Networks)System DevelopmentNormally, the research report will not involve any network development. If you are consideringa project that involves any implementation, you are to discuss this with the instructor beforebeginning.Neural Networks October, 2011 3
  • 8. COMP7570 T02 – NEURAL NETWORKS REPORT EVALUATION Name: Student Number: Report Title: Pages: Presentation: E VG G A P VP Organization: E VG G A P VP Depth: E VG G A P VP Originality: E VG G A P VP Grade: A+ A B+ B C+ C D FNeural Networks October, 2011 4
  • 9. COMP7570 T02 – NEURAL NETWORKSProject GuidelinesPrepare a report on one of the suggested topics listed below. Note that many of the topicsrepresent general areas; you must select a specific topic from within the general area, it is notacceptable to hand in a report that deals with many topics at a superficial level. You may selecta topic that is not on this list but you must check with the instructor in advance. In preparingyour report, you must read at least three relevant research papers or books.The report is to be prepared using a text-formatting system such as MS Word (handwritten ortyped reports will not be accepted). The format of the report must follow the standard formatused for research papers, that is, it must begin with an abstract that summarizes the report, anintroduction which describes the problem, one or more sections that describe the current statusof the research, and then a conclusions section which is followed by the references. There mustbe a section heading for each section; subsections would be useful if there is a naturalsubdivision of a section. The report is expected to be approximately 20-25 pages long andprinted with a 12-point font with 16-point to 18-point vertical spacing. Spelling errors are to beeliminated using a spell-checker. Page numbers are to be printed on the report. If necessary,diagrams may be xeroxed from the research papers but the source must be credited; diagramsmay be included on separate pages.All sources that you use must be cited: any time that you refer to material contained in a researchpaper or book (both direct quotations and paraphrases), include a citation to the publication.The citation format in the body of your report is to be [Winston] or, if you refer to more thanone publication by the same author, [Winston 1984]. The complete reference to the publicationis in the References section using the following format:[Winston] P.H. Winston, An Introduction to Artificial Intelligence, Second Edition, Addison- Wesley, 1984.Include in your bibliography only papers that you have read; do not include papers cited by thepapers you have read. You must include a copy (either printed or electronic) of each of the 3major papers that you used for your report.The report is to be handed in by the date assigned in class.Neural Networks October, 2011 1
  • 10. The reports are normally expected to consist of literature reviews. That is, the description of aproblem, the description of how a particular neural network solved the problem, an analysis ofthe results, and an examination of how the results could be improved/extended, etc.Staple the enclosed evaluation sheet on top of the report. It is not necessary to hand in the reportin a folder. The grade assigned for the report will be based on the presentation of the report(spelling, word choice, clarity, etc.), the organization of the report, the depth of the report, andyour contribution to the report. The reports will not be returned.Note: If the material in the report has been or will be used to fulfill the requirements of another course, or a thesis, or research, a statement to this effect must be included at the beginning of the paper. Failure to do so will result in academic penalties.The following publications provide a good starting point for the report topics: IJCNN: International Joint Conference on Neural Networks Neural Networks Neural Computation IEEE Transactions on Systems, Man, and Cybernetics IEEE Transactions on Signal Processing Artificial Intelligence, Science Library Cognitive Science, Dafoe Library ACM SIGART Newsletter, Science Library Other IEEE and ACM publications Specialty journals such as AI in Medicine are recommendedSeminars:The seminar is to consist of a short (approximately 10 minutes) presentation of your researchtopic and should include a sample system that is the focus of the seminar. The seminar materialis to be presented using PowerPoint (or a pdf version of your PowerPoint presentation displayedin pdf full-screen mode).The schedule for the seminars will be posted.Neural Networks October, 2011 2
  • 11. TOPICSLiterature Review• physiological modelling (e.g. modelling motor neurons in the spinal cord)• representation of time in neural nets• in-depth examination of a network model not covered in class (e.g. SOM, PNN, Art)• traveling salesman problem and its solution using neural networks• genetic algorithms and their use in the development of neural networks• use of neural networks in signal processing• use of neural networks in control systems• use of neural networks in image processing• improvements to backpropagation algorithm• neural networks that use reinforcement learning• use of neural networks in the more general context of machine learning• use of neural networks in speech understanding or speech generation• neural networks and diagnosis (e.g. psychiatric diagnosis using the DSM)• neural networks and decision making (e.g. financial decisions)• neural networks and expert systems (integration of the two approaches)• integration of neural networks and fuzzy logic• modular (ensemble) neural networks• deep learning in neural networks (see Hinton, Deep Belief Networks)System DevelopmentNormally, the research report will not involve any network development. If you are consideringa project that involves any implementation, you are to discuss this with the instructor beforebeginning.Neural Networks October, 2011 3
  • 12. COMP7570 T02 – NEURAL NETWORKS REPORT EVALUATION Name: Student Number: Report Title: Pages: Presentation: E VG G A P VP Organization: E VG G A P VP Depth: E VG G A P VP Originality: E VG G A P VP Grade: A+ A B+ B C+ C D FNeural Networks October, 2011 4