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Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise
1 8378Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
1 13316A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say
1 7266The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
1 4830Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. a) True – this works always, and these multiple perceptrons learn to classify even complex problems. b) False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded d) False – just having a single perceptron is enough
1 4649The 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
1 12589Which of the following is an application of NN (Neural Network)? a) Sales forecasting b) Data validation c) Risk management d) All of the mentioned
1 7812Post New AI Neural Networks Questions
How are weights initialized in a network?
How are artificial neural networks different from normal computers?
How are nns related to statistical methods?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
What are neural networks? What are the types of neural networks?
What are neural networks and how do they relate to ai?
I need a MATLAB source code to recognize different regular geometric shapes such as: squares,rectangles,triangles,circles and ellipses in different sizes using neural network. All of the images containing these shapes should be in binary format with the size of 300*400 pixels. would you please give me a MATLAB code to detect these geometric shapes?
What are combination, activation, error, and objective functions?
What is simple artificial neuron?
what are some advantages and disadvantages of neural network?
How artificial neural networks can be applied in future?
List some commercial practical applications of artificial neural networks?
How many kinds of nns exist?
How human brain works?
How does an LSTM network work?
