Data Mining And Warehouse Set 9
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This set of Data Mining and Data Warehouse Multiple Choice Questions & Answers (MCQs) focuses on Data Mining And Warehouse Set 9
Q1 | The ___________is a long, single fibre that originates from the cell body.
- axon.
- neuron.
- dendrites.
- strands.
Q2 | A single axon makes ___________ of synapses with other neurons.
- ones.
- hundreds.
- thousands.
- millions.
Q3 | _____________ is a complex chemical process in neural networks.
- receiving process.
- sending process.
- transmission process.
- switching process.
Q4 | _________ is the connectivity of the neuron that give simple devices their real power. a. b. c. d.
- water.
- air.
- power.
- fire.
Q5 | __________ are highly simplified models of biological neurons.
- artificial neurons.
- computational neurons.
- biological neurons.
- technological neurons.
Q6 | The biological neuron's _________ is a continuous function rather than a step function.
- read.
- write.
- output.
- input.
Q7 | The threshold function is replaced by continuous functions called ________ functions.
- activation.
- deactivation.
- dynamic.
- standard.
Q8 | The sigmoid function also knows as __________functions.
- regression.
- logistic.
- probability.
- neural.
Q9 | MLP stands for ______________________.
- mono layer perception.
- many layer perception.
- more layer perception.
- multi layer perception.
Q10 | In a feed- forward networks, the conncetions between layers are ___________ from input to output.
- bidirectional.
- unidirectional.
- multidirectional.
- directional.
Q11 | The network topology is constrained to be __________________.
- feedforward.
- feedbackward.
- feed free.
- feed busy.
Q12 | RBF stands for _____________.
- radial basis function.
- radial bio function.
- radial big function.
- radial bi function.
Q13 | RBF have only _______________ hidden layer.
- four.
- three.
- two.
- one.
Q14 | RBF hidden layer units have a receptive field which has a ____________; that is, a particular inputvalue at which they have a maximal output.
- top.
- bottom.
- centre.
- border.
Q15 | ___________ training may be used when a clear link between input data sets and target output valuesdoes not exist.
- competitive.
- perception.
- supervised.
- unsupervised.
Q16 | ___________ employs the supervised mode of learning.
- rbf.
- mlp.
- mlp & rbf.
- ann.
Q17 | ________________ design involves deciding on their centres and the sharpness of their Gaussians.
- dr.
- and.
- xor.
- rbf.
Q18 | ___________ is the most widely applied neural network technique.
- abc.
- plm.
- lmp.
- mlp.
Q19 | SOM is an acronym of _______________.
- self-organizing map.
- self origin map.
- single organizing map.
- simple origin map.
Q20 | ____________ is one of the most popular models in the unsupervised framework.
- som.
- sam.
- osm.
- mso.
Q21 | The actual amount of reduction at each learning step may be guided by _________.
- learning cost.
- learning level.
- learning rate.
- learning time.
Q22 | The SOM was a neural network model developed by ________.
- simon king.
- teuvokohonen.
- tomoki toda.
- julia.
Q23 | SOM was developed during ____________.
- 1970-80.
- 1980-90.
- 1990 -60.
- 1979 -82.
Q24 | Investment analysis used in neural networks is to predict the movement of _________ from previousdata.
- engines.
- stock.
- patterns.
- models.
Q25 | SOMs are used to cluster a specific _____________ dataset containing information about the patient'sdrugs etc.
- physical.
- logical.
- medical.
- technical.