B.E. (Computer Engineering) Eighth Semester (C.B.S.)
Elective - IV : Expert System Design (ESD) TKN/KS/16/7719
P. Pages : 2 *0738*
Time : Three Hours Max. Marks : 80 _____________________________________________________________________ Notes : 1. 2. 3. 4. 5. 6. 7. 8. 9.
b)
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a)
Explain in detail the structure of an expert system with a suitable diagram. OR Write notes on knowledge acquisition techniques in expert system.
b)
Discuss the MYCIN expert system focusing on the certainity factor used.
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a)
Consider the following sentences. i) John likes all kinds of food. ii) Apples are food. iii) Chicken is food. iv) Anything anyone eats & Isn't by is food. v) Bill eats peanuts & is still alive. vi) Due eats everything Bill eats. Translate these sentences into predicates logic. Using resolution answer the question ''What food does Due eat?''
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b)
5
a)
Explain in detail the basic principles of resolution. Explain resolution algorithm in predicate logic. OR Difference between propositional logic and predicate logic with example.
b)
Explain knowledge representation using frames & semantic networks in details.
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a)
What is production system? How the knowledge represented in production system?
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b)
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a)
Explain in detail Inference Rules & Inference procedure. OR What is mean by pattern recognition in expert system.
b)
Explain inference in production system with top-down inference.
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a)
Describe the frame structure of news collection system.
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What are expert systems? Give the five names of expert system.
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Solve Question 1 OR Questions No. 2. Solve Question 3 OR Questions No. 4. Solve Question 5 OR Questions No. 6. Solve Question 7 OR Questions No. 8. Solve Question 9 OR Questions No. 10. Solve Question 11 OR Questions No. 12. Due credit will be given to neatness and adequate dimensions. Assume suitable data wherever necessary. Illustrate your answers wherever necessary with the help of neat sketches.
TKN/KS/16/7719
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P.T.O
b)
Construct partitioned semantic nets. i) Every batter hits a ball. ii) All the batters like the pitches.
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11.
b)
Explain in details tree like frame taxonomies.
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a)
Explain Bayes theorem with example.
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b)
What is Dempster-Shafer theory.
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a)
OR Explain certainty factor with measure of belief & disbelief with example?
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b)
Write short note on network model.
6
a)
Explain Biological concept of neural network.
6
b) a)
Differentiate between supervised and unsupervised learning? OR Explain single layer perceptron?
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how to adapt to this changing business environment but also ... production scheduling in small to medium sized manufacturing ..... of interconnecting the developed software to an Integrated ... production cost accounting, resources scheduling ...
While the advice and information in this book are believed to be true and ..... creating a Virtual Design System (VDS) on the World Wide Web that will guide .... lubricant severs not only to minimize friction and wear but also to cool the surfaces.
Abstract. The paper present an account of Case-based and Rule-based Expert System for Memory Loss Disease. It will initially discuss different approaches in designing of Medical Diagnosis Expert Systems with focus on all the information about the mem
Our objective is to develop a real-time search engine for an online com- .... an expert on quantum mechanics and computational physics might be able to help the .... such degree of accuracy nor required for the application areas considered.
related to the subject issue, unquenched knowledge would be reachable efficiently to the viewer. Keywords: Metadata, Rating, Linked data, Web-service, Semantic search, Annotation. 1. Introduction. Online education has become increasingly important as
In this paper, we present an emerging application that uses multi-agent and expert-system technology to help users in updating forest maps. .... operators for filtering, segmentation, and texture analysis. 3 Image Data Selection Assistant (IDSA) ...
24 Jun 2016 - tions are centered around data protection. They are wor- ried what ..... ticipants and 2.2 times more likely than US participants to judge themselves as using secure instant messaging. not heard but tried but not act. heard not using no
ing sentiments by crowds for text analytics in Opin-. ionBlocks (Hu et al, ... analysis) solve complex problems singularly and collabora- tively. Consequently, I will ...
team members, with varying expertise levels. .... SAVANT tool to support solo (Goyal et al. .... ACM 2012 conference on Computer Supported Cooperative. Work.
Page 2 of 148. Gujarat State Watershed Management Agency (GSWMA) ,Gandhinagar. APPLICATION FORM FOR RECRUITMENT TO THE POST OF__________________. (All the columns are to be compulsorily filled in neatly in capital letters or should be type- written u
Jul 24, 2015 - actually be followed and design campaigns to improve security ed- ucation. .... the survey via their social media accounts. About 80% of partic-.
Jun 24, 2016 - As these applications see more use, the privacy and secu- ..... Even in the German sample with a higher proportion of secure .... split of secure and non-secure mobile IM users. We also targeted for gender diversity and different profe
Jul 24, 2015 - Security practices that experts follow and consider good security advice for .... the survey via their social media accounts. About 80% of partic-.
Through the PREVNT program you can learn how to recognize high risk situations and various ways to get assistance. Only through YOU can we make progress in changing the statistics and address the abuse that is occurring in our communities. Please joi
This work presents the design of an expert system that aims to provide the patient with background for suitable diagnosis of some of the eye diseases. ... colors, and dimensions of objects in the world by processing the light they reflect or emit. Th
Keywords: Expert systems; Configuration; Best weight distribution on ferryboat. 1. Introduction .... call the user requirements dynamic and parametrizing. Fig. 1. ...... ceedings of the ninth international conference on software engineering.