Exam 6: Artificial Neural Networks for Data Mining
Exam 1: Decision Support Systems and Business Intelligence68 Questions
Exam 2: Decision Making, Systems, Modeling, and Support70 Questions
Exam 3: Decision Support Systems Concepts, Methodologies, and Technologies:70 Questions
Exam 4: Modeling and Analysis69 Questions
Exam 5: Data Mining for Business Intelligence69 Questions
Exam 6: Artificial Neural Networks for Data Mining67 Questions
Exam 7: Text and Web Mining69 Questions
Exam 8: Data Warehousing69 Questions
Exam 9: Business Performance Management69 Questions
Exam 10: Collaborative Computer-Supported Technologies and70 Questions
Exam 11: Knowledge Management70 Questions
Exam 12: Artificial Intelligence and Expert Systems69 Questions
Exam 13: Advanced Intelligent Systems66 Questions
Exam 14: Management Support Systems: Emerging Trends and Impacts70 Questions
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ANN stands for ________.
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(Short Answer)
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Correct Answer:
artificial neural network
List the usual process of general learning in neural network.
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(Essay)
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Correct Answer:
•Compute temporary outputs.
•Compare outputs with desired targets.
•Adjust the weights and repeat the process.
Neural network models are designed as exact replicas of how the human brain actually functions.
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(True/False)
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Correct Answer:
False
Learning algorithms specify the ________ by which a neural network learns the underlying relationship between input and outputs.
(Multiple Choice)
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Training of artificial neural networks is an iterative process and the iteration continues until the error sum is converged to below a preset accep level.
(True/False)
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The ________ is the training procedure used by an artificial neural network.
(Short Answer)
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A ________ is able to increase or decrease the strength of the connection from neuron to neuron.
(Short Answer)
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The backpropagation learning algorithm is an iterative ________ technique designed to minimize an error function between the actual output of the network and its desired output,as specified in the training set of data.
(Multiple Choice)
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________ value is a hurdle value for the output of a neuron to trigger the next level of neurons.
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There are about 50 to 150 billion neurons in the human brain and these neurons are partitioned into groups called ________.
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Describe the five major concepts / components of neural network information processing.
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The purpose of the neural network is to compute the ________ of the output.
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________ testing is used to comparing test results to historical results.
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Which of the following procedure is used to break datasets into different pairs of training and testing sets?
(Multiple Choice)
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In ________,the network is self-organizing; that is,it organizes itself internally so that each hidden processing element responds strategically to a different set of input stimuli.
(Short Answer)
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In network information processing,each input corresponds to one or two attributes.
(True/False)
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The artificial neurons receive the information from external input stimuli,perform a ________ on the inputs,and then pass on external outputs.
(Short Answer)
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A threshold value is a hurdle value for the output of a neuron to trigger the next level of neurons.If an output value is larger than the threshold value,it will not be passed to the next level of neurons.
(True/False)
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In a neural network,the knowledge is stored in the ________ associated with each connection between two neurons.
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