This set of Neural Networks Aptitude Test focuses on “Learning Basics – 1”. 1. Activation models are? a) dynamic b) static c) deterministic d) none of the mentioned 2. If xb(t) represents differentiation of state x(t), then a stochastic model can be represented by? a) xb(t)=deterministic model b) xb(t)=deterministic model + noise component c) xb(t)=deterministic … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Activation Models″. 1. Activation value is associated with? a) potential at synapses b) cell membrane potential c) all of the mentioned d) none of the mentioned 2. In activation dynamics is output function bounded? a) yes b) no 3. What’s the actual … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Dynamics″. 1. Weight state i.e set of weight values are determined by what kind of dynamics? a) synaptic dynamics b) neural level dynamics c) can be either synaptic or neural dynamics d) none of the mentioned 2. Which is faster neural level … Read more
This set of Neural Networks Multiple Choice Questions and Answers for freshers focuses on “Learning – 2”. 1. Correlation learning law is special case of? a) Hebb learning law b) Perceptron learning law c) Delta learning law d) LMS learning law 2. Correlation learning law is what type of learning? a) supervised b) unsupervised c) … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Learning – 1″. 1. On what parameters can change in weight vector depend? a) learning parameters b) input vector c) learning signal d) all of the mentioned 2. If the change in weight vector is represented by ∆wij, what does it mean? … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Topology″. 1. In neural how can connectons between different layers be achieved? a) interlayer b) intralayer c) both interlayer and intralayer d) either interlayer or intralayer 2. Connections across the layers in standard topologies & among the units within a layer can … Read more
This set of Neural Networks Interview Questions and Answers focuses on “Models – 2” 1. Who invented perceptron neural networks? a) McCullocch-pitts b) Widrow c) Minsky & papert d) Rosenblatt 2. What was the 2nd stage in perceptron model called? a) sensory units b) summing unit c) association unit d) output unit 3. What was … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Models – 1″. 1. What is the name of the model in figure below? a) Rosenblatt perceptron model b) McCulloch-pitts model c) Widrow’s Adaline model d) None of the mentioned 2. What is nature of function F(x) in the figure? a) linear … Read more
This set of Neural Networks Questions & Answers for campus interviews focuses on “Terminology”. 1. What is ART in neural networks? a) automatic resonance theory b) artificial resonance theory c) adaptive resonance theory d) none of the mentioned 2. What is an activation value? a) weighted sum of inputs b) threshold value c) main input … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “History″. 1. Operations in the neural networks can perform what kind of operations? a) serial b) parallel c) serial or parallel d) none of the mentioned 2. Does the argument information in brain is adaptable, whereas in the computer it is replaceable … Read more
