Homework exercise 5
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SafeAssign Originality Report Summer 2021 - Business Intelligence (ITS-531-M33) - Full Term • Similarity Assignment
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Week 6 Assignment
Varunbhai Patel University of the Cumberlands
Business Intelligence
Chapter 5 Assignment
Discussion questions 1. What is an artificial neural network and for what types of problems can be used? An artificial neural network (ANN) is the piece
of a computing system that is designed to simulate the way the human brain analyzes and processes information. It is the foundation of artificial intelligence (AI) and solves problems that would prove impossible or difficult by human statistical standards. 2. Compare artificial and biological neural networks. What aspect of bio-
logical networks are mimicked by artificial ones? What aspects are similar? Artificial Neural network has a faster processing speed whereas biological neural network has a slow processing speed. In artificial neural network, allocation for storage to a new process is strictly irreplaceable as the old location is saved for the previ-
ous process whereas in biological neural network, the allocation for storage to a new process is easy as it is added just by adjusting the interconnection strength. In ar- tificial neural network, if any information is corrupted in the memory, it cannot be retrieved. In BNN, information is distributed into the network throughout into sub- nodes even if it gets corrupted it can be retrieved. Biological Neural Networks is a structure that is made up of synapse, dendrites, cell body and axon. In the
neural network, the processing is done by neurons. Dendrites receive signals from other neurons. 3. What are the most common ANN architectures? For what
types of problems can they be used? Single layer fee forward network. Multilayer feed forward network, Single node with its own feedback
Single layer recurrent network
Multilayer recurrent network. They are used for solving a number of business problems such as sales forecasting, customer research, data validation, and risk
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management. 4. ANN can be used for both supervised and unsupervised learning. explain how they learn in a supervised mode and in an unsupervised mode. In
supervised learning, ANN uses backpropagation to improve the fitting by decreasing the error in the predictions. A neural net is said to learn supervised if the de-
sired output is already known. In unsupervised learning, the learning process is independent, the input vectors of similar types are combines to form clusters.
When a new input pattern is applied, the neural network gives as output response indicating the class to which pattern belongs.
Exercise 6 Go to google scholar. Conduct a research to find two papers written in the last five years that compare and contrast multiple machine learning meth-
ods for a given problem domain. Observe commonalities and differences among their findings and prepare a report to summarize your understanding. The two arti- cles analyzed are Machine learning and deep learning methods for cybersecurity and, Using machine-learning methods for musical style modeling. In the first article, the authors find out that, with development of the internet, there are rapid changes in the cyber-attacks and the cyber security situation is not optimistic. Dubnov, (2019) notes that datasets for network intrusion detection are very important for training and testing systems. Machine learning and DL methods do not work without representative data and obtaining such a dataset is difficult and time consuming. In the second article, Xin, (2018) have found out that, the ability to construct a musi- cal theory from examples presents a great intellectual challenge that which if it was successfully met, could foster a new creative applications. The authors applied ma- chine learning methods on the problem of musical style modelling. In this article, machine learning is found to be composed of deriving a mathematical model, such as a set of stochastic rules, from a set of musical examples.
References
McKinsey. (2017, July 9). Ask the AI experts: What advice would you give to executives about AI? YouTube. https://www.youtube.com/watch?
v=JPLYc6cull0&ab_channel=McKinsey%26Company. Healthcare AI Solutions & Services: Nuance. Nuance Communications. (n.d.).
https://www.nuance.com/healthcare.html.
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Student paper
Varunbhai Patel University of the Cumberlands
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University of Cumberlands
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Chapter 5 Assignment
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Week 5 Assignment
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Discussion questions 1.
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Questions for Discussion (Chapter 6) 1
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What is an artificial neural network and for what types of problems can be used?
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What is an artificial neural network and for what types of problems can it be used
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An artificial neural network (ANN) is the piece of a computing system that is designed to simulate the way the human brain analyzes and processes information. It is the founda- tion of artificial intelligence (AI) and solves problems that would prove impossible or diffi- cult by human statistical standards.
Original source
An artificial neural network (ANN) is the piece of a computing system designed to simu- late the way the human brain analyzes and processes information It is the foundation of artificial intelligence (AI) and solves problems that would prove impossible or difficult by human or statistical standards
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Compare artificial and biological neural networks. What aspect of biological networks are mimicked by artificial ones? What aspects are similar?
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Compare artificial and biological neural networks What aspects of biological networks are not mimicked by artificial ones What aspects are similar
6/13/2021 Originality Report
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In artificial neural network, allocation for storage to a new process is strictly irreplaceable as the old location is saved for the previous process whereas in biological neural network, the allocation for storage to a new process is easy as it is added just by adjusting the in- terconnection strength.
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In artificial neural networks, allocation for storage to a new process is prohibited as the old location is saved for the previous process, while in biological neural networks, it is much simpler as it is added by just adjusting the interconnection strengths (Marijana Zek- ić-Sušac, Sanja Pfeifer, Nataša Šarlija, 2014)
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Biological Neural Networks is a structure that is made up of synapse, dendrites, cell body and axon. In the neural network, the processing is done by neurons.
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Biological Neural Network (BNN) is a structure that consists of Synapse, dendrites, cell body, and axon In this neural network, the processing is carried out by neurons
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What are the most common ANN architectures? For what types of problems can they be used?
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What are the most common ANN architectures For what types of problems can they be used
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Single layer fee forward network.
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Single-layer feed-forward network
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Multilayer feed forward network, Single node with its own feedback
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Single node with its own feedback
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Single layer recurrent network Multilayer recurrent network.
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Single-layer recurrent network Multilayer recurrent network
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They are used for solving a number of business problems such as sales forecasting, cus- tomer research, data validation, and risk management.
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Today, neural networks are used for solving many business problems such as sales fore- casting, customer research, data validation, and risk management
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ANN can be used for both supervised and unsupervised learning. explain how they learn in a supervised mode and in an unsupervised mode.
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ANN can be used for both supervised and unsupervised learning Explain how they learn in a supervised mode and in an unsupervised mode
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A neural net is said to learn supervised if the desired output is already known.
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A neural network is said to learn supervised if the desired output is already known
6/13/2021 Originality Report
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In unsupervised learning, the learning process is independent, the input vectors of similar types are combines to form clusters.
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In unsupervised learning, when ANNs are trained, the input vectors of similar types com- bine to form clusters
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When a new input pattern is applied, the neural network gives as output response indicat- ing the class to which pattern belongs.
Original source
When a new input pattern is applied, the neural network gives an output response indi- cating the class to which input pattern belongs
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Exercise 6 Go to google scholar. Conduct a research to find two papers written in the last five years that compare and contrast multiple machine learning methods for a given problem domain. Observe commonalities and differences among their findings and pre- pare a report to summarize your understanding.
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Exercise 6 Go to Google Scholar (scholar.google.com) Conduct a search to find two papers written in the last five years that compare and contrast multiple machine-learning meth- ods for a given problem domain Observe commonalities and differences among their findings and prepare a report to summarize your understanding
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Ask the AI experts: What advice would you give to executives about AI?
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Ask the AI Experts What Advice Would You Give to Executives About AI
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https://www.youtube.com/watch?v=JPLYc6cull0&ab_channel=McKinsey%26Company.
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https://www.youtube.com/watch?v=JPLYc6cull0&ab_channel=McKinsey%26Company
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https://www.nuance.com/healthcare.html.
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https://www.nuance.com/index.html
