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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.
Computers manipulate numbers - but decimalnumbers with digits 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 cannot be represented using two states of a digitalcircuit.Instead decimal numbers are co
Discuss in detail about Micro computer A microcomputer's CPU is a microprocessor. The microcomputer was originated in late 1970s. The first microcomputer was built around 8-bit
you will implement a second-order low-pass filter using the finite difference method. The finite difference method is a useful mathematical method that is used to numerically solve
What is CLR? CLR is .NET equivalent of Java Virtual Machine (JVM). It is the runtime that changes a MSIL code into the host machine language code, which is then implemented a
Q. Example on PUBLIC DIVISOR? Linker appends all segments having the same name and PUBLIC directive with segment name into one segment. Their contents are pulled together in co
Vector-Vector Instructions In this type, vector operands are fetched by the vector register and saved in another vector register. These instructions are indicated with the foll
Register Transfer Micro-operations These micro-operations as the name proposes transfer information from one register to another. The information doesn't change during these mi
There are two methods for organising the associative memory based on bit slices: Bit parallel organisation: In this organisation every bit slices which are not masked off,
Explain difference of Circuit switching versus Packet switching. Within circuit switching an end-to-end path is to be establishing before any data can be sent. Previously a con
Question 1: Explain in detail the characteristics of the following artificial neural networks. (a) Recurrent Neural Networks. (b) Self-organising Mapping Neural Networks.
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