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2 years ago

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In the context of machine learning, an artificial neural network (ann) is most likely used for?

Computers and Technology

1 answer:

Marianna [84]2 years ago

7 0

In the context of machine learning, an artificial neural network (ANN) exists most likely utilized for oil and gas exploration (Option c).

<h3>What is machine learning?</h3>

Machine learning (ML) guides to a kind of artificial intelligence based on computer algorithms capable of producing predictions without being programmed to do so.

Machine learning algorithms are used in various industries, including, among others, medical diagnostics, bioinformatics, image processing, modification of hygiene in production plans, etc.

Moreover, an artificial neural network (ANN) directs to a machine learning technique that receives inputs and then delivers explicit outputs regarding predefined activation functions.

This kind of computation network (artificial neural network) exists similar to neuronal biological networks carried out by neurons.

Hence, In the context of machine learning, an artificial neural network (ANN) exists most likely utilized for oil and gas exploration (Option c).

To learn more about Machine learning refer to:

brainly.com/question/25523571

#SPJ4

The complete question is,

In the context of machine learning, an artificial neural network (ANN) is most likely used for

a. Supplying explanations for solutions.

b. problems that require the use of if-then-else rules.

c. oil and gas exploration.

d. portfolio development and analysis.

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Merge Sort: It is a comparison based algorithm. It works on divide and conquer technique. It uses recursion approach for sorting. This means it breaks the problem(lets say array list to be sorted) into sub problems (smaller parts) and then solves (in this case sorts) each sub problem in a recursive manner. At the end it merges the solutions (hence the merged sorted array). Although selection sort works faster when data set is small merge sort outperforms it for larger data sets. Merge sort is a stable algorithm and works best for linked lists. Its not an in place algorithm. Time complexity of merge sort is O(n*log n) for best, average and worst cases because it always divides the array in two parts and takes linear time to merge these part. O(n(logn)) time complexity makes it better,more efficient and faster to sort large data sets.

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