The following diagram represents a feed-forward neural network with one hidden layer:
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| Name | Hair | Height | Weight | Lotion | Result |
|---|---|---|---|---|---|
| Sarah | blonde | average | light | no | sunburned (positive) |
| Dana | blonde | tall | average | yes | none (negative) |
| Alex | brown | short | average | yes | none |
| Annie | blonde | short | average | no | sunburned |
| Emily | red | average | heavy | no | sunburned |
| Pete | brown | tall | heavy | no | none |
| John | brown | average | heavy | no | none |
| Katie | blonde | short | light | yes | none |
Apply BFS algorithm on the following graph.
For the given points of two classes Blue and Yellow:
Blue: { (1,2), (2,3), (-1,2), (-1,4), (-1,-1)}
Yellow: { (4,2), (5,-1), (5,1), (6,1), (5,3)}
Plot a graph for the Blue and Yello categories. Find the support vectors and optimal separating line.
The following diagram represents a feed-forward neural network with one hidden layer:
For the following fuzzy sets:
A = {a/0.6, b/0.4, c/0.5, d/0.0, e/0.8}; B = {a/0.2, b/0.8, c/0.7, d/0.3, e/0.5}
C = {a/0.1, b/0.2, c/0.8, d/0.6, e/0.2}
Find the fuzzy sets: (i) A U B UC (ii) A ∩ B ∩ C (iii) A' U B' U C' (iv) A' ∩ B' ∩ C'
(v) (A ∩ B UC)'
Find a quadratic regressi on model for the following data. Use the regression model and calculate the value of Y at X = 9.
| X | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|
| Y | 2.5 | 3.2 | 3.8 | 6.5 | 11.5 |