McqMate
| 201. |
The human brain consists of a network of . |
| A. | Neurons |
| B. | Cells |
| C. | Tissue |
| D. | Muscles |
| Answer» A. Neurons | |
| 202. |
Each neuron is made up of a number of nerve fibers called________. |
| A. | Electrons |
| B. | Molecules |
| C. | Atoms |
| D. | Dendrites |
| Answer» D. Dendrites | |
| 203. |
The__________is a long, single fiber that originates from the cell body. |
| A. | Axon |
| B. | Neuron |
| C. | Dendrites |
| D. | Strands |
| Answer» A. Axon | |
| 204. |
A single axon makes of synapses with other neurons. |
| A. | Ones |
| B. | Hundreds |
| C. | Thousands |
| D. | Millions |
| Answer» C. Thousands | |
| 205. |
is a complex chemical process in neural networks. |
| A. | Receiving process |
| B. | Sending process |
| C. | Transmission process |
| D. | Switching process |
| Answer» C. Transmission process | |
| 206. |
Is the connectivity of the neuron that give simple devices their real power? |
| A. | Water |
| B. | Air |
| C. | Power |
| D. | Fire |
| Answer» D. Fire | |
| 207. |
Are highly simplified models of biological neurons? |
| A. | Artificial neurons |
| B. | Computational neurons |
| C. | Biological neurons |
| D. | Technological neurons |
| Answer» A. Artificial neurons | |
| 208. |
The biological neuron's__________is a continuous function rather than a step function. |
| A. | Read. |
| B. | Write. |
| C. | Output. |
| D. | Input |
| Answer» C. Output. | |
| 209. |
The threshold function is replaced by continuousfunctions called______functions. |
| A. | Activation. |
| B. | Deactivation. |
| C. | Dynamic. |
| D. | Standard |
| Answer» A. Activation. | |
| 210. |
The sigmoid function also knows as __functions. |
| A. | Regression |
| B. | Logisti |
| C. | C Probability |
| D. | Neural |
| Answer» B. Logisti | |
| 211. |
MLP stands for . |
| A. | Mono layer perception |
| B. | Many layer perception |
| C. | More layer perception |
| D. | Multi-layer perception |
| Answer» D. Multi-layer perception | |
| 212. |
In a feed- forward networks, the connections between layers are________from input to output. |
| A. | Bidirectional |
| B. | Unidirectional |
| C. | Multidirectional |
| D. | Directional |
| Answer» B. Unidirectional | |
| 213. |
The network topology is constrained to be . |
| A. | Feed forward |
| B. | Feed backward |
| C. | Feed free |
| D. | Feed busy |
| Answer» A. Feed forward | |
| 214. |
RBF stands for . |
| A. | Radial basis function |
| B. | Radial bio function |
| C. | Radial big function |
| D. | Radial bi function |
| Answer» A. Radial basis function | |
| 215. |
RBF have only hidden layer. |
| A. | Four |
| B. | Three |
| C. | Two |
| D. | One |
| Answer» D. One | |
| 216. |
RBF hidden layer units have a receptive field which has a________; that is, a particular input value at which they have a maximal output. |
| A. | Top |
| B. | Bottom |
| C. | Centre |
| D. | Border |
| Answer» C. Centre | |
| 217. |
Training may be used when a clear link between input data sets and target output values does not exist. |
| A. | Competitive |
| B. | Perception |
| C. | Supervise |
| D. | D Unsupervised |
| Answer» D. D Unsupervised | |
| 218. |
Employs the supervised mode of learning. |
| A. | RBF |
| B. | MLP |
| C. | MLP & RBF |
| D. | ANN |
| Answer» C. MLP & RBF | |
| 219. |
Design involves deciding on their centers and the sharpness of their Gaussians. |
| A. | DR |
| B. | AND |
| C. | XOR |
| D. | RBF |
| Answer» D. RBF | |
| 220. |
is the most widely applied neural network technique. |
| A. | ABC |
| B. | PLM |
| C. | LMP |
| D. | MLP |
| Answer» D. MLP | |
| 221. |
SOM is an acronym of . |
| A. | Self-organizing map |
| B. | Self-origin map |
| C. | Single organizing map |
| D. | Simple origin map |
| Answer» A. Self-organizing map | |
| 222. |
Is one of the most popular models in the unsupervised framework? |
| A. | SOM |
| B. | SAM |
| C. | OSM |
| D. | MSO |
| Answer» A. SOM | |
| 223. |
The actual amount of reduction at each learning step may be guided by_________. |
| A. | learning cost |
| B. | learning level |
| C. | learning rate |
| D. | learning time |
| Answer» C. learning rate | |
| 224. |
The SOM was a neural network model developed by__________. |
| A. | Simon King |
| B. | Teuvokohonen |
| C. | Tomoki Toda |
| D. | Julia |
| Answer» B. Teuvokohonen | |
| 225. |
SOM was developed during . |
| A. | 1970-80 |
| B. | 1980-90 |
| C. | 1990 -60 |
| D. | 1979 -82 |
| Answer» D. 1979 -82 | |
| 226. |
Investment analysis used in neural networks is to predict the movement of_________from previous data. |
| A. | Engines |
| B. | Stock |
| C. | Patterns |
| D. | Models |
| Answer» B. Stock | |
| 227. |
SOMs are used to cluster a specific dataset containing information about the patient’s drugs etc. |
| A. | Physical |
| B. | Logical |
| C. | Medical |
| D. | Technical |
| Answer» C. Medical | |
| 228. |
GA stands for ____ . |
| A. | Genetic algorithm |
| B. | Gene algorithm |
| C. | General algorithm |
| D. | Geo algorithm |
| Answer» A. Genetic algorithm | |
| 229. |
GA was introduced in the year________. |
| A. | 1955 |
| B. | 1965 |
| C. | 1975 |
| D. | 1985 |
| Answer» C. 1975 | |
| 230. |
Genetic algorithms are search algorithms based on the mechanics of natural . |
| A. | Systems |
| B. | Genetics |
| C. | Logistics |
| D. | Statistics |
| Answer» B. Genetics | |
| 231. |
The RSES system was developed in . |
| A. | Poland |
| B. | Italy |
| C. | Englan |
| D. | D America |
| Answer» A. Poland | |
| 232. |
Crossover is used to . |
| A. | Recombine the population’s genetic material |
| B. | Introduce new genetic structures in the population |
| C. | To modify the population’s genetic material |
| D. | All of the above |
| Answer» A. Recombine the population’s genetic material | |
| 233. |
The mutation operator . |
| A. | Recombine the population's genetic material |
| B. | Introduce new genetic structures in the population |
| C. | To modify the population's genetic material |
| D. | All of the above |
| Answer» B. Introduce new genetic structures in the population | |
| 234. |
Which of the following is an operation in genetic algorithm? |
| A. | Inversion |
| B. | Dominance |
| C. | Genetic edge recombination |
| D. | All of the above |
| Answer» D. All of the above | |
| 235. |
____________ is a system created for rule induction. |
| A. | RBS |
| B. | CBS |
| C. | DBS |
| D. | LERS |
| Answer» D. LERS | |
| 236. |
NLP stands for____________. |
| A. | Non Language Process |
| B. | Nature Level Program |
| C. | Natural Language Page |
| D. | Natural Language Processing |
| Answer» D. Natural Language Processing | |
| 237. |
Web content mining describes the discovery of useful information from the contents. |
| A. | Text |
| B. | Web |
| C. | Page |
| D. | Level |
| Answer» B. Web | |
| 238. |
Research on mining multi-types of data is termed as__________data. |
| A. | Graphics |
| B. | Multimedia |
| C. | Meta |
| D. | Digital |
| Answer» B. Multimedia | |
| 239. |
Mining is concerned with discovering the model underlying the link structures of the web. |
| A. | Data structure |
| B. | Web structure |
| C. | Text structure |
| D. | Image structure |
| Answer» B. Web structure | |
| 240. |
is the way of studying the web link structure. |
| A. | Computer network |
| B. | Physical network |
| C. | Social network |
| D. | Logical network |
| Answer» C. Social network | |
| 241. |
The__________propose a measure of standing a node based on path counting. |
| A. | Open we |
| B. | B Close web |
| C. | Link web |
| D. | Hidden web |
| Answer» B. B Close web | |
| 242. |
In web mining, is used to find natural groupings of users, pages, etc. |
| A. | Clustering |
| B. | Associations |
| C. | Sequential analysis |
| D. | Classification |
| Answer» A. Clustering | |
| 243. |
In web mining, is used to know the order in which URLs tend to be accessed. |
| A. | clustering |
| B. | associations |
| C. | sequential analysis |
| D. | classification |
| Answer» C. sequential analysis | |
| 244. |
In web mining, is used to know which URLs tend to be requested together. |
| A. | Clustering |
| B. | Associations |
| C. | Sequential analysis |
| D. | Classification |
| Answer» B. Associations | |
| 245. |
Describes the discovery of useful information from the web contents. |
| A. | Web content mining |
| B. | Web structure mining |
| C. | Web usage mining |
| D. | All of the above |
| Answer» A. Web content mining | |
| 246. |
is concerned with discovering the model underlying the link structures of the web. |
| A. | Web content mining. |
| B. | Web structure mining. |
| C. | Web usage mining. |
| D. | All of the above |
| Answer» B. Web structure mining. | |
| 247. |
The__________engine for a data warehouse supports query-triggered usage of data. |
| A. | NNTP |
| B. | SMTP |
| C. | OLAP |
| D. | POP |
| Answer» C. OLAP | |
| 248. |
displays of data such as maps, charts and other graphical representation allow data to be presented compactly to the users. |
| A. | Hidden |
| B. | Visual |
| C. | Obscure |
| D. | D Concealed |
| Answer» B. Visual | |
Done Reading?