Explain Blocks Word Description String Generation example as Pattern Description.
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Explain Blocks Word Description String Generation example as Pattern Description.
Describe an Abstract View of Parsing Problem?
Describe the Chomsky Normal form with suitable example.
Identify the different Elements of Formal Grammars.
Describe the Design and Selection of Similarity Measures.
Explain Clique finding algorithm with suitable example.
Distinguish between Homomorphism and Isomorphism.
Draw and Explain Grammatical Interface Model and its objective.
Describe with neat diagram Artificial Neuron Activation and Output Characteristics.
Describe the different reasons to adopt a Neural Computational Architecture.
Explain different Characteristics of Neural Computing Applications.
Describe CAM & other Neural Memory Structure.
Explain how the character classification is done with Pattern Associator?
Explain Summary of the Back Propagation learning Procedure with suitable diagram.
Draw & explain how to train the feedforward network using Generalized delta Rule?
Draw & Explain structure of a Multiple Layer Feedforward Network.
| Subject Name | Pattern Recognition Ele I |
|---|---|
| Semester | I |
| Pattern Year | 2019 |
| Subject Code | 317522B |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6353]-55 |
| Academic Year | T.E. |
| Branch Name | Artificial Intelligence & Data Science |
| Exam Type | ENDSEM |
| Exam Session | 2024 Nov Dec Endsem |
| Watermark | ['CEGP013091', '49.248.216.237 19/12/2024 09:54:39 static-237'] |
Explain the Pattern. Pattern recognition and its application.
What are the different models or approaches of pattern recognition?
Explain feature extraction?
What is design cycle of pattern recognition?
What is Neural Pattern Recognition Approach?
Explain in details of Pattern Recognition System & what need of pattern recognition system.
Explain the statistical pattern recognition?
What are the different types of pattern classification?
What is an unsupervised learning approach in pattern recognition?
What is the Gaussian distribution classification?
What are discriminate function and its uses?
What are risk and errors in measurement of classification performance?
| Subject Name | Pattern Recognition Ele I |
|---|---|
| Semester | I |
| Pattern Year | 2019 |
| Subject Code | 317522 (B) |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | [6360]-131 |
| Academic Year | T.E. |
| Branch Name | Artificial Intelligence and Data Science |
| Exam Type | INSEM |
| Exam Session | 2024 Sep Insem |
| Watermark | ['CEGP013091', '49.248.216.238 05/09/2024 10:59:37 static-238'] |
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