CCS QUIZ BEE - Artificial Neural Network Quiz

What is the main objective of Artificial Neural Networks?

• To develop a system to perform various computational tasks faster than traditional systems

• To create a computer model of the brain

• To classify data into two classes

• To optimize data clustering

Which of the following is a key development of Artificial Neural Networks during the 1960s to 1980s?

• Multilayer perceptron (MLP) invented by Minsky and Papert

• Energy approach by Hopfield

• Generalised Delta Rule introduced by Rumelhart, Hinton, and Williams

• Associative memories developed by Kohonen

What is the basic concept of the Hebbian Learning Rule?

• Weaken connections between neurons that fire at the same time

• Increase the weight of connections randomly

• Decrease the weight of connections randomly

• Strengthen connections between neurons that fire at the same time

Which learning rule is used for the training of a single layer feedforward network with linear activation function?

• Delta Learning Rule

• Perceptron Learning Rule

• Outstar Learning Rule

• Competitive Learning Rule

What is the main difference between Adaline and Madaline networks?

• Adaline has a bipolar activation function while Madaline has a binary activation function

• Adaline uses supervised learning while Madaline uses unsupervised learning

• Adaline has fixed weights and bias while Madaline has adjustable weights and bias

• Adaline has a single linear unit while Madaline has multiple Adalines in parallel

What is the purpose of the back propagation neural network?

• Unsupervised learning

• Pattern recognition

• Error correction

• Clustering patterns

Which learning rule works only for the output layer in neural networks?

• Hebbian learning

• Generalized delta learning rule

• K-means clustering algorithm

• Competitive learning rule

What is the main operation of Adaptive Resonance Theory networks?

• Feedback connections

• Clustering vectors

• Supervised learning

• Pattern association

What is the main function of Kohonen Self-Organizing Feature Maps?

• Pattern recognition

• Preserving neighbor topology

• Clustering arbitrary dimensions

• Error correction

What is the difference between Auto Associative Memory and Hetero Associative Memory networks?

• Number of layers

• Training algorithm

• Input and output vectors

• Activation function