An artificial neural network

 

 

 

Q# 1

What is an artificial neural network and for what types of problems can it be used?

Q# 2

Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by artificial ones? What aspects are similar?

Q# 3

What are the most common ANN architectures? For what types of problems can they be used?

Q# 4

ANN can be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode.

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 methods for a given problem domain. Observe com- monalities and differences among their findings and prepare a report to summarize your understanding.

Internet Exercise# 7

Go to neuroshell.com. Look at Gee Whiz examples. Comment on the feasibility of achieving the results claimed by the developers of this neural network model.

Chapter # 6

Q# 1

What is deep learning? What can deep learning do that traditional machine-learning methods cannot?

Q# 2

List and briefly explain different learning paradigms/ methods in AI.

Q# 3

What is representation learning, and how does it relate to machine learning and deep learning?

Q# 4

List and briefly describe the most commonly used ANN activation functions.

Q# 5

What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN.

Exercise# 4

Cognitive computing has become a popular term to define and characterize the extent of the ability of machines/ computers to show “intelligent” behavior. Thanks to IBM Watson and its success on Jeopardy!, cognitive computing and cognitive analytics are now part of many real- world intelligent systems. In this exercise, identify at least three application cases where cognitive computing was used to solve complex real-world problems. Summarize your findings in a professionally organized report.

 

 

 

Sample Solution

An artificial neural network

An artificial neural network (ANN) is a part of artificial intelligence (AI) and this is the area of computer science which is related in making computers behave more intelligently. ANN is modeled on the brain where neurons are connected in complex patterns to process data from the senses, establish memories and control the body. An artificial neural network is a system based on the operation of biological neural networks or it is also defined as an emulation of biological neural system. Artificial neural networks are used in sequence and pattern recognition systems, data processing, robotics, modeling, etc. ANN acquires knowledge from their surroundings by adapting to internal and external parameters and they solve complex problems which are difficult to manage.

ve to be clinically diagnosed based off the patient’s symptoms. If an individual only has persistent delusions it becomes apparent to the doctor that they aren’t schizophrenic. Schizophrenic requires multiple symptoms not just delusions. A person with delusional disorder are typically fully functioning individual except for their delusional episodes. According to Belmont Behavioral Hospital, emphasizes that “This condition could have an impact on the person’s daily living, although, fortunately, it does not necessarily prevent that individual from functioning within society on an ongoing basis”. In contrast to Schizophrenia, this psychotic disorder causes patience to be more dependent on friends and family due to lack of the ability to make decisions on their own. Another, similar disorder whose symptoms have to be clinically distinguished from Schizophrenia is substance or medication induced psychotic disorder. Substance induced psychotic disorder is when a patient has been abusing a controlled substance that is mind altering. Examples of drugs that cause, hallucinations and or delusions would be LSD, Psilocybin Mushrooms, recreational marijuana, and opioids. The Substance Abuse and Mental Health Services Administration report the staggering statistic that in 2014, “approximately 1.2 million Americans are currently hallucinogenic drug users”. This goes to show the epidemic that psychiatrist have to take into account prior to clinically diagnosis an individual with Schizophrenia. The diagnosis for substance or medication induced psychotic disorder is to conduct a urine test to determine if the person is experiencing a “bad trip,” due to a controlled substance. The American Addiction Center, provides a description of a bad trip as “when brain levels of the drugs become “too” high, the effects become bizarre, and you start experiencing out-of-the-earth things”. An individuals with history of drug use that have been diagnosed with substance psychotic disorder often have recurrent bad trips even after the sobriety. It’s undeniable that mind altering drugs can lead to damaging the brain and permanently causing symptoms similar to Schizophrenia. However, Schizophrenia is typically a lifelong disorder while acute Substance Induced Psychotic Disorder symptoms with proper treatment and sobriety can go away. Schizophrenia can be linked by genetics while Substance Induced Psychotic Disorder, is due to abusing a controlled substance. Neither, are curable however, with treatment symptoms can subside or disappear. Prevalence Rates of Schizophrenia Physiatrist have observed that there is a difference in prevalence in women and men with Schizophrenia. According to Rena Li and Xi Ma, two Psychiatrist at the University of Tennessee, “Schizophrenia is more frequent in men. Female onset is typically 3–5 years later than males. It is now accepted that men has a single peak age for onset which is between 21 and 25 years old and women have two peaks age of onset, one between 25 and 30 years

This question has been answered.

Get Answer
WeCreativez WhatsApp Support
Our customer support team is here to answer your questions. Ask us anything!
👋 Hi, Welcome to Compliant Papers.