Description : Internal state of neuron is called __________, is the function of the inputs the neurons receives A. Weight B. activation or activity level of neuron C. Bias D. None of these
Last Answer : B. activation or activity level of neuron
Description : An artificial neurons receives n inputs x1, x2,...,xn with weights w1,w2,...,wn attached to the input links. The weighted sum ............... is computed to be passed on to a non-linear filter ϕ called activation function to release the output. (A) Σ wi (B) Σ xi (C) Σ wi + Σ xi (D) Σ wi . Σ xi
Last Answer : (D) Σ wi . Σ xi
Description : ANN is composed of large number of highly interconnected processing elements(neurons) working in unison to solve problems. A. True B. False C. D.
Last Answer : A. True
Description : In artificial Neural Network interconnected processing elements are called A. nodes or neurons B. weights C. axons D. Soma
Last Answer : A. nodes or neurons
Description : A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: a) 238 b) 76 c) 119 d) 123
Last Answer : a) 238
Description : Feature of ANN in which ANN creates its own organization or representation of information it receives during learning time is A. Adaptive Learning B. Self Organization C. What-If Analysis D. Supervised Learniing
Last Answer : B. Self Organization
Description : What is back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the ... the network to allow weights to be adjusted so that the network can learn d) None of the mentioned
Last Answer : c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn
Description : What is back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the ... network to allow weights to be adjusted so that the network can learn. d) None of the mentioned
Last Answer : c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn.
Description : What is a perception check? a) a cognitive bias that makes us listen only to information we already agree with b) a method teachers use to reward good listeners in the classroom c) ... that allows you to state your interpretation and ask your partner whether or not that interpretation is correct
Last Answer : d) a response that allows you to state your interpretation and ask your partner whether or not that interpretation is correct
Description : What is Neuro software? a) A software used to analyze neurons b) It is powerful and easy neural network
Last Answer : b) It is powerful and easy neural network
Description : Neurons or artificial neurons have the capability to model networks of original neurons as found in brain A. True B. False
Description : Neuro software is: a) A software used to analyze neurons b) It is powerful and easy neural network c) Designed to aid experts in real world d) It is software used by Neuro surgeon
Description : Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in ... b) (ii) is true c) (i) and (ii) are true d) None of the mentioned
Last Answer : c) (i) and (ii) are true
Description : A search algorithm takes _________ as an input and returns ________ as an output. a) Input, output b) Problem, solution c) Solution, problem d) Parameters, sequence of actions
Last Answer : b) Problem, solution
Description : An FET has a gate source bias of 2 V. The ac input signal is ± 1.2 V. The class of operation is A) A B) B C) C D) AB
Last Answer : D) AB
Description : What are three advantages of adding an ac bias voltage to the input signal instead of adding a fixed dc bias voltage?
Last Answer : a. Reproduces a stronger output signal. b. Greatly improves the SNR. c. Greatly reduces the natural tape hiss.
Description : Why does adding dc vice ac bias voltage to the input signal result in a poor signal-to-noise ratio (SNR)?
Last Answer : With dc bias, the SNR is poor because only a small portion of the magnetism curve is straight enough to use, thus the output signal is weak compared with the natural tape hiss.
Description : How does dc bias added to the input signal correct the distortion in the output signal?
Last Answer : The dc bias moves the input signal away from the step in the magnetism curve. This prevents the input signal from crossing the zero-point of the magnetism curve.
Description : In the illustration, the small battery and Rb are in the circuit to apply ________. EL-0022 A. forward bias to the emitter-base B. reverse bias to the emitter-base C. a 'reference charge' on the input capacitor D. a buffer between the input ground and the emitter ground
Last Answer : Answer: A
Description : Neuron can send ________ signal at a time. A. multiple B. one C. none D. any number of
Last Answer : B. one
Description : When you get fired from your job and you determine it is because your boss dislikes you, you are most likely exhibiting? a) Self-promotion b) Fundamental attribution error c) Over-attribution d) Self-serving bias
Last Answer : d) Self-serving bias
Description : In ________ TDM, each input connection hasan allotment in the outputeven if it is not sendingdata. A) synchronous B) statistical C) isochronous D) none of the above
Last Answer : synchronous
Description : Like semantic networks, frames can be queried using spreading activation. a) True b) False
Last Answer : a) True
Description : What are the two functions in Neural network’s Activation functions?
Last Answer : i. Threshold function ii. Sigmoid function
Description : Sensing organs as input, mechanical movement organs as output and central nervous system (CNS) in brain as control and computing devices is known as _____ of human being A. Information Control Paradigm B. Information Processing Paradigm C. Information Processing Control D. None of above
Last Answer : B. Information Processing Paradigm
Description : What is the name for information sent from robot sensors to robot controllers? a) temperature b) pressure c) feedback d) signal
Last Answer : c) feedback
Description : In LISP, the function returns t if is a CONS cell and nil otherwise ________ a) (cons ) b) (consp ) c) (eq ) d) (cous =)
Last Answer : b) (consp )
Description : Heuristic function h(n) is ________ a) Lowest path cost b) Cheapest path from root to goal node c) Estimated cost of cheapest path from root to goal node d) Average path cost
Last Answer : c) Estimated cost of cheapest path from root to goal node
Description : An agent is composed of ________ a) Architecture b) Agent Function c) Perception Sequence d) Architecture and Program
Last Answer : d) Architecture and Program
Description : Parts-of-Speech tagging determines ___________ a) part-of-speech for each word dynamically as per meaning of the sentence b) part-of-speech for each word dynamically as per sentence structure c) all part-of-speech for a specific word given as input d) all of the mentioned
Last Answer : d) all of the mentioned
Description : Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned
Last Answer : d) All of the mentioned
Description : In a ________ connection, three or more devices share a link. A) multipoint B) point-to-point C) (a) and(b) D) none of the above
Last Answer : multipoint
Description : Three or more devices share a link in ________ connection. a) Unipoint b) Multipoint c) Point to point d) Simplex
Last Answer : b) Multipoint
Description : Which of the following is true in Statistical reasoning? a) The representation is extended to allow some kind of numeric measure of certainty to be associated with each statement b) The ... extended to allow some kind of numeric measure of certainty to be associated common to all statements
Last Answer : a) The representation is extended to allow some kind of numeric measure of certainty to be associated with each statement
Description : The cray X-MP, IBM 3090 and connection machine can be characterized as ____________ a) SISD b) SIMD c) MISD d) MIMD
Last Answer : b) SIMD
Description : What is the purpose of each of the 'signal conditioners' (6000F085 / AH170 / F125) shown in the illustration? EL-0094 A. Convert the varying signal from its particular sensor and deliver a ... the 'setpoint module' in order to keep the pressure or temperature at its sensor at set limits.
Description : What is the purpose of either 'setpoint module' (6000F090/030) shown in the illustration? EL-0094 A. Program the 'signal conditioner' as to how to vary its input. B. Supply 0 - 10 volts to ... . Obtain an input from the 'signal conditioner' and, if outside set limits, signals the 'annunciator'.
Last Answer : Answer: D
Description : What is reified link?
Last Answer : The elevation of a link to the status of a describable node is a kind of reification. When a link is so elevated then it is said to be a reified link.
Description : A perceptron has input weights W1 = -3.9 and W2 = 1.1 with threshold value T = 0.3. What output does it give for the input x1 = 1.3 and x2 = 2.2? (A) -2.65 (B) -2.30 (B) 0 (D) 1
Last Answer : Answer: C
Description : The network that involves backward links from output to the input and hidden layers is called _________ a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
Last Answer : c) Recurrent neural network
Description : A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is? a) 000 or 110 or 011 or 101 b) 010 or 100 or 110 or 101 c) 000 or 010 or 110 or 100
Last Answer : c) 000 or 010 or 110 or 100
Description : What takes input as an object described by a set of attributes? a) Tree b) Graph c) Decision graph d) Decision tree
Last Answer : d) Decision tree
Description : Input segments of AI programming contain(s)? a) sound b) smell c) touch d) none of the mentioned
Last Answer : d) none of the mentioned
Description : Artificial intelligence is A . It uses machine-learning techniques. Here program can learn From past experience and adapt themselves to new situations B. Computational procedure that takes some ... performs tasks that would require intelligence when performed by humans D . None of these
Last Answer : C. Science of making machines performs tasks that would require intelligence when performed by humans
Description : The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
Description : A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is: a) 000 or 110 or 011 or 101 b) 010 or 100 or 110 or 101 c) 000 or 010 or 110 or 100 d) 100 or 111 or 101 or 001
Description : In the illustrated circuit, what is the phase relationship of the amplifier output compared to the input? EL-0022 A. 0° in-phase B. 180° out of phase C. phase angle of the input divided by power factor D. unable to determine without the value of the bias voltage
Last Answer : Answer: B
Description : The device in figure 'B' shown in the illustration can be used to control an AC load yet maintain its high gain by ______________. EL-0091 A. connecting the load to the output side of the ... connecting the load to the input side of the bridge D. reversing the current flow through the bias winding