Exam 6: Artificial Neural Networks for Data Mining

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ANN stands for ________.

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artificial neural network

List the usual process of general learning in neural network.

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•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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Learning algorithms specify the ________ by which a neural network learns the underlying relationship between input and outputs.

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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.

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The ________ is the training procedure used by an artificial neural network.

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A ________ is able to increase or decrease the strength of the connection from neuron to neuron.

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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.

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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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________ is the most commonly used network paradigm.

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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?

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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.

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In network information processing,each input corresponds to one or two attributes.

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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.

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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.

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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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