# Neural Networks and AI [NTA-NET (Based on NTA-UGC) Computer Science (Paper-II)]: Questions 1 - 4 of 64

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## Question number: 1

» Neural Networks and AI » Architecture & Structure: 2 & 3 Layered Neural Nets

Appeared in Year: 2015

### Question

Reasoning strategies used in expert systems include ________ (December)

### Choices

Choice (4) | Response | |
---|---|---|

a. | Forward chaining, backward chaining and boundary mutation | |

b. | Forward chaining, backward chaining and problem reduction | |

c. | Forward chaining, backward chaining and back propagation | |

d. | Backward chaining, problem reduction and boundary mutation |

## Question number: 2

» Neural Networks and AI » Architecture & Structure: 2 & 3 Layered Neural Nets

Appeared in Year: 2015

### Question

In constraint satisfaction problem, constraints can be stated as ________ (December)

### Choices

Choice (4) | Response | |
---|---|---|

a. | Arithmetic equations that impose restrictions over variables | |

b. | Arithmetic equations and inequalities that doesn’t bind any restriction over variables | |

c. | Arithmetic equations and inequalities that bind the values of variables | |

d. | Arithmetic equations that discard constraints over the given variables |

## Question number: 3

» Neural Networks and AI » Forward Chaining and Backward Chaining

Appeared in Year: 2015

### Question

Forward chaining systems are ________ whereas backward chaining systems are ________ (December)

### Choices

Choice (4) | Response | |
---|---|---|

a. | Goal driven, Goal driven | |

b. | Goal driven, Data driven | |

c. | Data driven, Data driven | |

d. | Data driven, Goal driven |

## Question number: 4

» Neural Networks and AI » Perceptron Model, Linear Separability and XOR Problem

Appeared in Year: 2016

### Question

A perceptron has input weights and with threshold value . What output does it give for the input and ?

### Choices

Choice (4) | Response | |
---|---|---|

a. | 0 | |

b. | 1 | |

c. | -2.30 | |

d. | -2.65 |