Using diagram, show the difference between feed-forward neural network and recurrent neural network.
A feed-forward neural network is a neural architecture in which information flows strictly in one direction, from input to hidden layers and finally to the output layer, without forming any cycles. Each neuron processes the weighted sum of its inputs and passes the result forward. There _________ ______ _________ ____ _____ __________ __________ ________.
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A single layer neural network is to have six inputs and three outputs. The outputs are continuous over the range 0 to 1. Now answer the following:
i) How many neurons are required?
ii) What are the dimensions of the weight matrix?
iii) What kind of transfer function could be used?
iv) Is a bias required? Give reasons.
(क) के मान निकालिए, जहाँ C
से प्राप्त वक्र है।
(ख) द्विश: समाकलन का प्रयोग करके दीर्घवृत्तज
Consider the single layer perception given below:
The activation function is:
Obtain the output for each of the following input pattern:
| Patterns |
|
|
|
|
|
| 1 | 0 | 1 | 1 |
|
| 0 | 1 | 0 | 1 |
|
| 0 | 1 | 1 | 1 |
Consider the ADALINE filter with three neurons in the input layer having weights 3,1 and − 2and the input sequence ......., ,0,0,0 − 0,0,0,5,4 ,.....}. Find the filter output.
Let A and B be two Fuzzy sets as given below:
Determine the following:
i) Universe of discourse for Set A and Set B.
ii) Complements of Set A and Set B
iii)
iv)
(क) निम्नलिखित सीमा ज्ञात कीजिए :
(i)
(ii)
(ख) बिन्दु (1,2) पर फलन का तृतीय टेलर बहुपद ज्ञात कीजिए।
(ग) केवल परिभाषाओं को लागू करके fxy(0,0) और fyx(0,0) ज्ञात कीजिए, जबकि फलन
के लिए इनका अस्तित्व होता हो।
Find the length and order of the following schema:
i)
ii)
iii)
iv)