MKT630 - International Marketing
Question(s) similar to the following:
An MKIS help in proper management and dissemination of all three kinds of information.What are the components of the Expert System and how they are different from the Neural network?
Question 1: An MKIS help in proper management and dissemination of all three kinds of information.What are the components of the Expert System and how they are different from the Neural network?
Answer: Suggest Edit
Components of expert system
User Interface: to enable the manager to enter instructions and information into an expert system to receive information from it.
Knowledge Base
: it is the database of the expert system. It contains rules to express the logic of the problem.
Inference engine
: it is the database management system of the expert system. It performs reasoning by using the contents of the knowledge base.
Development engine
it is used to create an expert system.
Neural Network vs. Expert System
Expert systems seek to model a human expert's way of solving problems. They are highly specific to seeking solutions. Neural networks do not model human intelligence. They seek to put intelligence into the hardware in the form of generalized capability to learn.
Similar Questions:
Question 2: An MKIS help in proper management and dissemination of all three kinds of information.What are the components of the Expert System and how they are different from the Neural network?
Answer: Suggest Edit
Components of expert system
User Interface: to enable the manager to enter instructions and information into an expert system to receive information from it.
Knowledge Base
: it is the database of the expert system. It contains rules to express the logic of the problem.
Inference engine
: it is the database management system of the expert system. It performs reasoning by using the contents of the knowledge base.
Development engine
it is used to create an expert system.
Neural Network vs. Expert System
Expert systems seek to model a human expert's way of solving problems. They are highly specific to seeking solutions. Neural networks do not model human intelligence. They seek to put intelligence into the hardware in the form of generalized capability to learn.
Past Papers of MKT630 - International Marketing
Question 1: An MKIS help in proper management and dissemination of all three kinds of information.What are the components of the Expert System and how they are different from the Neural network?
Answer: Suggest Edit
Components of expert system
User Interface: to enable the manager to enter instructions and information into an expert system to receive information from it.
Knowledge Base
:it is the database of the expert system. It contains rules to express the logic of the problem.
Inference engine
:it is the database management system of the expert system. It performs reasoning by using the contents of the knowledge base.
Development engine
it is used to create an expert system.
Neural Network vs. Expert System
Expert systems seek to model a human expert's way of solving problems. They are highly specific to seeking solutions. Neural networks do not model human intelligence. They seek to put intelligence into the hardware in the form of generalized capability to learn.
Similar Questions:
Question 2: An MKIS help in proper management and dissemination of all three kinds of information.What are the components of the Expert System and how they are different from the Neural network?
Answer: Suggest Edit
Components of expert system
User Interface: to enable the manager to enter instructions and information into an expert system to receive information from it.
Knowledge Base
:it is the database of the expert system. It contains rules to express the logic of the problem.
Inference engine
:it is the database management system of the expert system. It performs reasoning by using the contents of the knowledge base.
Development engine
it is used to create an expert system.
Neural Network vs. Expert System
Expert systems seek to model a human expert's way of solving problems. They are highly specific to seeking solutions. Neural networks do not model human intelligence. They seek to put intelligence into the hardware in the form of generalized capability to learn.
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