Essentials of MIS (13th Edition)
13th Edition
ISBN: 9780134802756
Author: Kenneth C. Laudon, Jane Laudon
Publisher: PEARSON
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Expert Solution & Answer
Chapter 11, Problem 3RQ
Explanation of Solution
Machine learning:
Machine learning is the study of improving the performance of the computer without the help of commands programmed by the human.
Benefits of machine learning to busines...
Explanation of Solution
Neural network:
- Neural network is also called as artificial neural network where the
AI attempts to imitate the way human brain works. - Electronic model that performs tasks like the neural structure of a human brain is artificial neural network.
- Artificial neural network is comparable in certain aspects to a biological neural network.
Working of neural network:
It works based on the structure and functions of human brain...
Explanation of Solution
Genetic
A genetic algorithm is an artificial intelligence system which is used for fining optimized solutions to search problems.
- The search problems are based on the theory of natural selection and evolutionary biology.
- It works well for searching large and complex data sets.
- It uses the combination of inputs to project the best outputs.
- It involves a process called mutation where it tries for random combinations and then evaluates the success or failure of the outcome.
Working of genetic algorithm:
The working of genetic algorithm starts with the creation of random initial population. It then creates a sequence of new population. It uses the current generation individuals to create the next population. It stops when the resulting criteria is met.
Genetic algorithm best suited for:
- It is well suited for decision-making environments.
- It is used to solve complex and tedious problems, which involves hundreds or thousands of variables or formulas...
Explanation of Solution
Natural Language Processing:
Natural language processing is the process of making a computer to speak like a human being.
- If this process is successfully implemented into a machine, then the voice communication between a human being and a machine becomes easy.
Examples of natural language processing in Business Applications:
- Classification of text
- Automatic summarization
- Machine translation
Computer vision system:
Computer vision system is the process, which deals with how the computer can imitate the visual system of the human. It tends to know how the human view and extract information from the real-world images...
Explanation of Solution
Expert System:
- A work performed by a human expert and the same task is performed by a computer application is known as expert systems.
- The expert system is a knowledge-based system that models the professionals in that particular field.
- It is a successful form of artificial intelligence software.
Working of expert system:
Expert system works based on the set of rules implemented in the software. These rules are acquired from the knowledge of the skilled that can be used by organization...
Expert Solution & Answer
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Students have asked these similar questions
1. Create a Book record that implements the Comparable interface, comparing the
Book objects by year
- title: String
>
- author: String
- year: int
Book
+ compareTo(other Book: Book): int
+ toString(): String
Submit your source code on Canvas (Copy
your code to text box or upload.java file)
>
Comparable
2. Create a main method in Book record.
1) In the main method, create an array of 2 objects of Book with your choice of
title, author, and year.
2) Sort the array by year
3) Print the object. Override the toString in Book to match the example output:
@Javadoc Declaration Console X Properties
Book [Java Application] /Users/kuan/.p2/pool/plugins/org.eclipse.justj.openjdk.hotspo
[Book: year=1901, Book: year=2010]
Q5-The efficiency of a 200 KVA, single phase transformer is 98% when operating at full load 0.8
lagging p.f. the iron losses in the transformer is 2000 watt. Calculate the i) Full load copper losses ii)
half load copper losses and efficiency at half load. Ans: 1265.306 watt, 97.186%
2. Consider the following pseudocode for partition:
function partition (A,L,R)
pivotkey = A [R]
t = L
for i
L to R-1 inclusive:
if A[i] A[i]
t = t + 1
end if
end for
A [t] A[R]
return t
end function
Suppose we call partition (A,0,5) on A=[10,1,9,2,8,5]. Show the state of the list at the
indicated instances.
Initial A
After i=0 ends
After 1 ends
After i 2 ends
After i = 3 ends
After i = 4 ends
After final swap
10 19 285
[12 pts]
Chapter 11 Solutions
Essentials of MIS (13th Edition)
Ch. 11.3 - Prob. 1CQ1Ch. 11.3 - Prob. 2CQ1Ch. 11.3 - Prob. 3CQ1Ch. 11.3 - Prob. 1CQ2Ch. 11.3 - Prob. 2CQ2Ch. 11.3 - Prob. 3CQ2Ch. 11 - Prob. 1IQCh. 11 - Prob. 2IQCh. 11 - Prob. 4IQCh. 11 - Prob. 5IQ
Ch. 11 - Prob. 1RQCh. 11 - Prob. 2RQCh. 11 - Prob. 3RQCh. 11 - Prob. 4RQCh. 11 - Prob. 5DQCh. 11 - Prob. 6DQCh. 11 - Prob. 7DQCh. 11 - Prob. 9HMPCh. 11 - Prob. 11HMPCh. 11 - Prob. 12CTPCh. 11 - Prob. 13CSQCh. 11 - Prob. 14CSQCh. 11 - Prob. 15CSQCh. 11 - Prob. 16CSQCh. 11 - Prob. 17CSQCh. 11 - Prob. 18MLMCh. 11 - Prob. 19MLM
Knowledge Booster
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