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Q. What basic concepts of evolution are used by the genetic algorithm?
ANSWER: The three concepts are selection, crossover and mutation. Selection is the feature of a genetic algorithm that provides preference to better outcomes. Mutation is a feature of a genetic algorithm; it's the process of trying combinations and computing the success (or failure) of the outcome. Crossover is the feature of a genetic algorithm where portions of good outcomes are taken in the hope of creating an even better outcome.
The illustration of the mouse on-screen. Depending on your settings, the cursor can be many dissimilar things.
what is data type
HTML is a Hyper text Markup Language and it is Scripting Language
Th e ID3 algorithm The calculation for information gain is the very difficult phase of this algorithm. ID3 performs a search whereby the search states are decision trees an
Explain the Product of Sum Form - standard forms? The POS is the Boolean Expression containing OR terms, called as sum terms. The product denotes ANDing of these terms. F= (
As CMOS is a special chip with its own battery, the best way to clear out a CMOS chip is to cut off it from its power supply. To clear the CMOS password you just take away the
a. Explain the hardware mechanism for handling multiple interrupt requests. b. What are handshaking signals? Describe the handshake control of data transfer during input and out
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Image Segmentation with Minimum Spanning Forests (50 points). Develop a Python 3 implementation of the image segmentation algorithm that we explored on the first day of class. Your
Binary Resolution: We looked at unit resolution (a propositional inference law) in the last lecture: A ∨ B, ¬B /A We may have this a bit further to propositional bin
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