Question

In: Operations Management

Which of the following statement is INCORRECT?   a. Neural networks mimic the way that human experts...

Which of the following statement is INCORRECT?  

a.

Neural networks mimic the way that human experts learn.
b.

Neural network is also called artificial neural networks.
c.

Neural networks cannot be used for prediction.
d.

Neural networks are based on a model of biological activity in the brain.

What is the output of decision trees?

a.

A set of rules.
b.

A set of weights.
c.

A set of bias values.
d.

Distance measures.

For a decision tree, the number of rules is equal to _________________.

a.

The number of classes.
b.

The number of nodes.
c.

The number of leaves.
d.

None of the above.

Solutions

Expert Solution

And 1: (C) neural network cannot be used for predication

Actual it can be used for prediction the reason is below

(A complex formula used for prognostic analysis, the neural network, is biologically galvanized by the structure of the human brain. A neural network provides a really straightforward model as compared to the human brain.

Neural networks may be accustomed to build predictions on statistic knowledge like weather knowledge.Nursing manufacture an output freed from noise.)

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Ans 2: set of rules (A)

________________________________________________

Ans3: The number of nodes (B)

A decision tree usually starts with a single node, that branches into doable outcomes. Every of these outcomes results in extra nodes, that branch off into alternative potentialities. Which makes number of nodes. There square measure Three differing kinds of nodes: probability nodes, call nodes, and finish nodes. An opportunity node, diagrammatic by a circle, shows the chances of bound results. A call node, diagrammatic by a shows a call to be created, Associate in Nursing a finish node shows the ultimate outcome of a call path.

(Note: Please like and Upvote my answe as this will help me answer more question. Thank You in advance for UPVOTE.)

keosha answered 6 months ago
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