Q. What is an auto-associative network?

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Q. What is Neuro software?

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Q. Neural Networks are complex ______________ with many parameters.

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Q. Which of the following is not the promise of artificial neural network?

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Q. The output at each node is called_____.

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Q. What is full form of ANNs?

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Q. In FeedForward ANN, information flow is _________.

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Q. Which of the following is not an Machine Learning strategies in ANNs?

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Q. Which of the following is an Applications of Neural Networks?

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Q. What is perceptron?

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Q. A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 3, 2 and 1 respectively. What will be the output?

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Q. What is back propagation?

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Q. The network that involves backward links from output to the input and hidden layers is called _________

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Q. The BN variables are composed of how many dimensions?

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Q. The first artificial neural network was invented in _____.

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Q. Alpha-beta pruning is a modified version of the?

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Q. There is a technique by which without checking each node of the game tree we can compute the correct minimax decision, and this technique is called?

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Q. The initial value of alpha is?

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Q. The initial value of beta is ?

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Q. The main condition which required for alpha-beta pruning is?

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