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We seek to test if an auto-associative network is capable of recalling certain memories. Here you will test if patterns can be completed or recovered. You are given a single pattern s = (1, 1, 1, -1) which is stored in the weights W computed using Hebbian learning.
Determine if the following patterns can be recalled (Yes or No). Show your work and explain how you arrived at each conclusion. Full credit depends on showing your work.
• Training pattern (1 1 1 -1)
• Small noise pattern (-1 1 1 -1)
• Incomplete pattern (0 0 1 -1)
• Large noise pattern (-1 -1 1 -1)
Diffrence between external diameter and internal diameter: A compound tube is built by shrinking one tube on another, the ultimate dimension being, 80 mm internal diameter, 16
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Thermodynamic equilibrium - Thermodynamics: Equilibrium is the state of a system in which the state does not undergo any change in itself with the passage of time without the
(a) How is specific gravity of electrolyte (battery water) measured and what should be the value of specific gravity? (b) How would you measure battery voltage and what is its reco
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W rite down the different assumptions in simple theory of bending. The assumptions which are made in theory of simple bending are stated below:
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