Principles of Information Systems (MindTap Course List)
12th Edition
ISBN: 9781285867168
Author: Ralph Stair, George Reynolds
Publisher: Cengage Learning
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Question
Chapter 11, Problem 1WE
Program Plan Intro
Neural network:
- Neural network is also called as artificial neural network where the
AI attempts to imitate the way human brain works. - It recognizes and acts on the patterns or trends that it detects in large sets of information.
- 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.
Features of neural network:
- Making advancement in parallel processing.
- Learning and fine-tuning towards the new circumstances in their own way.
- Able to function without complete or well-structured information.
Example: Facial recognition
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Chapter 11 Solutions
Principles of Information Systems (MindTap Course List)
Ch. 11.4 - Prob. 1DQCh. 11.4 - Prob. 2DQCh. 11.4 - Prob. 1CTQCh. 11.4 - Prob. 2CTQCh. 11.5 - Prob. 1DQCh. 11.5 - Prob. 2DQCh. 11.5 - Prob. 1CTQCh. 11.5 - Prob. 2CTQCh. 11 - Prob. 1SATCh. 11 - Prob. 2SAT
Ch. 11 - Prob. 3SATCh. 11 - Prob. 4SATCh. 11 - Prob. 5SATCh. 11 - Prob. 6SATCh. 11 - Prob. 7SATCh. 11 - Prob. 8SATCh. 11 - Prob. 9SATCh. 11 - Prob. 10SATCh. 11 - Prob. 11SATCh. 11 - A(n) ______ is a collection of software packages...Ch. 11 - Prob. 13SATCh. 11 - Prob. 14SATCh. 11 - Prob. 15SATCh. 11 - Prob. 16SATCh. 11 - Prob. 17SATCh. 11 - Prob. 18SATCh. 11 - Prob. 19SATCh. 11 - Prob. 20SATCh. 11 - Prob. 21SATCh. 11 - Prob. 22SATCh. 11 - Prob. 23SATCh. 11 - Prob. 1RQCh. 11 - Prob. 2RQCh. 11 - Prob. 3RQCh. 11 - Prob. 4RQCh. 11 - Prob. 5RQCh. 11 - Prob. 6RQCh. 11 - Prob. 7RQCh. 11 - Prob. 8RQCh. 11 - Prob. 9RQCh. 11 - Prob. 10RQCh. 11 - Prob. 11RQCh. 11 - Prob. 12RQCh. 11 - Prob. 13RQCh. 11 - Prob. 14RQCh. 11 - Prob. 15RQCh. 11 - Prob. 16RQCh. 11 - Prob. 17RQCh. 11 - Prob. 18RQCh. 11 - Prob. 19RQCh. 11 - Prob. 20RQCh. 11 - Prob. 1DQCh. 11 - Prob. 2DQCh. 11 - Prob. 3DQCh. 11 - Prob. 4DQCh. 11 - Prob. 5DQCh. 11 - Prob. 6DQCh. 11 - Prob. 7DQCh. 11 - Prob. 8DQCh. 11 - Prob. 9DQCh. 11 - Prob. 10DQCh. 11 - Prob. 11DQCh. 11 - Prob. 3TACh. 11 - Prob. 1WECh. 11 - Prob. 2WECh. 11 - Prob. 3WECh. 11 - Prob. 2CECh. 11 - Prob. 1DQ1Ch. 11 - Prob. 2DQ1Ch. 11 - Prob. 1CTQ1Ch. 11 - Prob. 2CTQ1Ch. 11 - Prob. 1DQ2Ch. 11 - Prob. 2DQ2Ch. 11 - Prob. 1CTQ2Ch. 11 - Prob. 2CTQ2Ch. 11 - Prob. 1DQ3Ch. 11 - Prob. 2DQ3Ch. 11 - Prob. 1CTQ3Ch. 11 - Prob. 2CTQ3
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- What is artificial neural network? what are the differences between single and multilayer neural networks? provide proper sketcharrow_forwardProvide an explanation of what it means for neural networks to "learn" in the context of computer science.arrow_forwardWhat is an example of an artificial neural network? Compare and contrast multilayer neural networks with their single-layer counterparts. adequate sketcharrow_forward
- In other words, explain the workings of an artificial neural network. How can you tell a single-layer network from a multi-layer one? draw it out enougharrow_forwardComputerized neural networks operate how? Tell me.arrow_forwardBefore we can appreciate how artificial neural networks operate, we must first know what they are.arrow_forward
- Before we can appreciate how artificial neural networks operate, do we first need to have a basic concept of what they are?arrow_forwardThere is a possibility that multilayered neural networks might be advantageous.In the following paragraphs, we will talk about overfitting as well as ways to avoid it from happening.arrow_forwardIn paragraph form, discuss the different types of neural networks.arrow_forward
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