Question 31 : An auto-associative network is:
1. a neural network that contains no loops
2. a neural network that contains feedback
3. a neural network that has only one loop
4. a single layer feed-forward neural network with pre-processing
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Question 32 : A perceptron is:
1. a single layer feed-forward neural network with pre-processing
2. an auto-associative neural network
3. a double layer auto-associative neural network
4. a neural network that contains feedback
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Question 33 : Which of the following statement is not true?
1. The union and concatenation of two context-free languages is context-free
2. The reverse of a context-free language is context-free, but the complement need not be
3. Every regular language is context-free because it can be described by a regular grammar
4. The intersection two context-free languages is context-free
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Question 34 : Which of the following statement is true?
1. Not all formal languages are context-free
2. All formal languages are Context free
3. All formal languages are like natural language
4. Natural languages are context-oriented free
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Question 35 : A perceptron is a ______________
1. Feed-forward neural network
2. Backpropagation algorithm
3. Backtracking algorithm
4. Feed Forward-backward algorithm
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Question 36 : Neural Networks are complex ______________with many parameters.
1. Linear Functions
2. Nonlinear Functions
3. Discrete Functions
4. Exponential Functions
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Question 37 : If a hypothesis says it should be positive, but in fact, it is negative, we call it
1. A consistent hypothesis
2. A false negative hypothesis
3. A false positive hypothesis
4. A specialized hypothesis
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Question 38 : Computational learning theory analyzes the sample complexity and computational complexity of
1. Unsupervised Learning
2. Inductive learning
3. Forced based learning
4. Weak learning
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Question 39 : Inductive learning involves finding a
1. Consistent Hypothesis
2. Inconsistent Hypothesis
3. Regular Hypothesis
4. Irregular Hypothesis
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Question 40 : In an Unsupervised learning
1. Specific output values are given
2. Specific output values are not given
3. No specific Inputs are given
4. Both inputs and outputs are given
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