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Define the Don't Care States - Simplifying K Maps?The Truth table specifications for a logic function may not to include all possible combinations of the input binary digits for the input variables yet they may still be complete specifications of the logic function for the prescribed application. In these circumstances certain input combinations will not take place due to the nature of the application when the input combinations are irrelevant or cannot take place, the output states are in the Truth table and the K map are filled with an X and are referred to as don't care states.When simplifying K maps with a don't care states, the contents of the undefined cells (1 or 0) are chosen according to preference. The aim is to extend group sizes thereby eliminating as many input variables from the simplified expression as possible. Only those X's that support in simplifying the function should be included in the groupings and No additional X's should be added that would result in additional terms in the expression.
Name the four steps in pipelining. Fetch : Read the instruction from the memory. Decode : Decode the instruction and get the source operand. Execute : Perform the operat
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A data set with 1000 rows is input to a neural network in Weka. The test option is set to 10-fold cross validation and the neural network option validationSetSize = 20%. How many r
what is multimedia and what is its importance
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I tried to run two of the applets in the examples directory of the distribution? Ans) I tried to run two of the applets in the example directory of the distribution. I instal
Conclusion - artificial intelligence : If we can determine what the exactly state of the world will be after an agent's action, so we can say the environment is deterministic.
Processors Hypercube This is specific to in the hypercube: Here, every processor is depicted by the set of nodes of the graph and the several arcs are represented with communic
Over fitting Considerations - artificial intelligence Left unexamined , back propagation in multi-layer networks may be very susceptible to over fitting itself to the
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