A perceptron is: a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback

1 Answers  

---

What is a neural network and what are some advantages and disadvantages of such a network?

0 Answers  

---

What are the population, sample, training set, design set, validation set, and test set?

0 Answers  

---

List some commercial practical applications of artificial neural networks?

0 Answers  

---

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

1 Answers  

---

The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function

1 Answers  

---

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

1 Answers  

---

 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 operation to biological ones. a) All of the mentioned b) (ii) is true c) (i) and (ii) are true d) None of the mentioned

1 Answers  

---

How are weights initialized in a network?

0 Answers  

---

How human brain works?

0 Answers  

---

What are cases and variables?

0 Answers  

---

How does ill-conditioning affect nn training?

0 Answers  

---