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sergejj [24]
1 year ago
8

Which of these analysis methods describes neural computing? a. historical if-then-else cases are used to recognize patterns O b.

a mathematical procedure predicts the value of a dependent variable based on a single independent variable ca specialized set of algorithms sorts through data and forms statistical rules about relationships among the items d. historical data is examined for patterns that are then used to make predictions
Engineering
1 answer:
Lera25 [3.4K]1 year ago
3 0

Historical data is examined for patterns that are then used to make predictions is one of the analysis methods that describe neural computing

What is neural computing?

A neural network is an artificial intelligence technique that instructs computers to analyze data in a manner modeled after the human brain. It is a kind of artificial intelligence technique known as deep learning that makes use of interconnected neurons or nodes in a layered structure to mimic the human brain.

Historical data is nothing but the existing network data which is stored for the predicting in future

In the context of neural networks, the word "pattern" refers to a collection of activations over a group of units (neurons).

Hence to conclude neural netwoks almost describes the patterns

To know more on neural networks follow this link

brainly.com/question/27371893

#SPJ1

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simple Brayton cycle using air as the working fluid has a pressure ratio of 10. The minimum and maximum temperatures in the cycl
Irina18 [472]

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a) 764.45K

b) 210.48 kJ/kg

c) 30.14%

Explanation:

pressure ratio = 10

minimum temperature = 295 k

maximum temperature = 1240 k

isentropic efficiency for compressor = 83%

Isentropic efficiency for turbine = 87%

<u>a) Air temperature at turbine exit </u>

we can achieve this by interpolating for enthalpy

h4 = 783.05 kJ/kg ( calculated in the background ) at state 4 using Table A-17  for  Ideal gas properties of air

T4 ( temperature at Turbine exit ) = 760 + ( 780 - 760 ) (\frac{783.05-778.18}{800.13-778.18} ) = 764.45K

<u>b) The net work output </u>

first we determine the actual work input to compressor

Wc = h2 - h1  ( calculated values )

     = 626.57 - 295.17 =  331.4 kJ/kg

next determine the actual work done by Turbine

Wt = h3 - h4  ( calculated values )

     = 1324.93 - 783.05 = 541.88 kJ/kg

finally determine the network output of the cycle

Wnet = Wt - Wc

         = 541.88 - 331.4  = 210.48 kJ/kg

<u>c) determine thermal efficiency </u>

лth = Wnet / qin  ------ ( 1 )

where ; qin = h3 - h2

<em>equation 1 becomes </em>

лth = Wnet / ( h3 - h2 )

      = 210.48 / ( 1324.93 - 626.57 )

      = 0.3014  =  30.14%

6 0
3 years ago
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