Definitions for IPT (1 Viewer)

[taker0]

OK so normally in each question in section 2/3...they ask for defintions and examples of these in (a) and (b). can anyone suggest what definitions and examples to memorise/study?

topics are:
info systems/database
communication systems
Multimedia
Decision Support System

 

[MysticalElement]

OK so normally in each question in section 2/3...they ask for defintions and examples of these in (a) and (b). can anyone suggest what definitions and examples to memorise/study?

topics are:
info systems/database
communication systems
Multimedia
Decision Support System

read a glossary :\

 

[Makro]

If there's any definition you can't provide an example of, ask here.

 

[taker0]

Can someone giv some examples on :

-expert systems
-artificial neuaral networks

 

[Makro]

No idea what artificial neural networks are, probably an option topic question?

The textbook says "Expert systems are a type of DSS." So it's already an example of that. More textbook:

For example, one epxert system has been designed to help doctors diagnose infectious blood diseases and prescribe antibiotics. The system uses the patient's medical history, symptoms, and laboratory test results as its input and compares these to its knowledge base. If a match occurs, the system uses its pharmacological knowledge base to recommend an antibiotic. Solutions are not always correct, it's up to the user to accept/reject the solution

 

[crazathiest]

No idea what artificial neural networks are, probably an option topic question?

The textbook says "Expert systems are a type of DSS." So it's already an example of that. More textbook:

For example, one epxert system has been designed to help doctors diagnose infectious blood diseases and prescribe antibiotics. The system uses the patient's medical history, symptoms, and laboratory test results as its input and compares these to its knowledge base. If a match occurs, the system uses its pharmacological knowledge base to recommend an antibiotic. Solutions are not always correct, it's up to the user to accept/reject the solution

Artificial Neural Networks are from the option topic of Decision Support Systems.

 

[Makro]

page 157 of Heinemann seems to explain it.

 

[bree.s]

page 527 samuel davis textbook

 

[Kat92]

There is no such thing as Artifical Neural Networks.

I presume you mean Neural Networks and Artificial Intelligence from the Option of Decision Support Systems (DSS).

Expert Systems, are systems that have been created to preserve the knowledge of experts in that field. They provide information and solve problems that would otherwise require a person experienced in that field.

E.g. A medical expert system might uses medical history, the patient's symptoms and laboratory test results to help doctors to diagnose infectious blood diseases and prescribe antibiotics.

Neural Networks, are a form similar to that of the functioning of the human brain, which is capable of learning. It is a network consisting of many interlinked nodes and processors that has the capability of finding relationships between sets of data to develop an understanding of the situation.

Eg. they are being used by:

*financial firms for economic forecasting and loan approval
*insurers to decide if a potential customer is a good risk
*marketers to predict which products will sell
*Manufacturers to predict how much material they will need
*Stockmarket firms to make predictions.

Artificial Intelligence- the capability of a computer to simulate human intelligence and learn from its experiences.

I also agree with @Mystical Element look over your glossary or look at the syllabus to establish a list of key terms to help you make a summary of what you should know from the Core Topics and your 2 Options.

 

[Eddykungfu]

There is no such thing as Artifical Neural Networks.

I presume you mean Neural Networks and Artificial Intelligence from the Option of Decision Support Systems (DSS).

Expert Systems, are systems that have been created to preserve the knowledge of experts in that field. They provide information and solve problems that would otherwise require a person experienced in that field.

E.g. A medical expert system might uses medical history, the patient's symptoms and laboratory test results to help doctors to diagnose infectious blood diseases and prescribe antibiotics.

Neural Networks, are a form similar to that of the functioning of the human brain, which is capable of learning. It is a network consisting of many interlinked nodes and processors that has the capability of finding relationships between sets of data to develop an understanding of the situation.

Eg. they are being used by:

*financial firms for economic forecasting and loan approval
*insurers to decide if a potential customer is a good risk
*marketers to predict which products will sell
*Manufacturers to predict how much material they will need
*Stockmarket firms to make predictions.

Artificial Intelligence- the capability of a computer to simulate human intelligence and learn from its experiences.

I also agree with @Mystical Element look over your glossary or look at the syllabus to establish a list of key terms to help you make a summary of what you should know from the Core Topics and your 2 Options.

wtf and we are competing against people llke you for a band5/6?

 

[SamD]

Our brain is a neural network. An artificial neural network is a simulation of the human brain using a computer. Both expert systems and artificial neural networks are examples of artificial intelligence. Artificial intelligence refers to systems which perform processing normally associated with human intelligence (eg. reasoning, creativity, etc).

 

[Kat92]

wtf and we are competing against people llke you for a band5/6?

Can't take all the credit. As I had a really great IPT teacher and constantly kept reading new information, the text-book, syllabus and summary notes. It also helps if you strongly enjoy the subject as much as what I did . As if you are not passionate about it, or see not point in studying for the subject; then quite often it ends in disaster as you see no point for motivation. As you really need to be passionate about this subject and have a reasonable grasp of the concepts to do well. You also need to be willing to ask questions if you don't entirely understand a certain concept, or otherwise when you reach the end of the topic you will still not be familiar with the concept that was troubling you.