Using diagram, show the difference between feed-forward neural network and recurrent neural network.
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(क) के मान निकालिए, जहाँ C
से प्राप्त वक्र है।
(ख) द्विश: समाकलन का प्रयोग करके दीर्घवृत्तज
Using diagram, show the difference between feed-forward neural network and recurrent neural network.
Approximate the function for
, by solving 1-2-1 network, using Back propagation algorithm. The weighted structure and initial input are as follows:
Weighted structures are: and bias
and bias
The initial input is 1.
Draw the architecture of the model. Perform one iteration.
State whether the following statements are True or False. Give short proof or a counter example in support of your answer.
a) In the Hopfield network, the neurons belonging to the same layer receive input from the neurons of the previous layer and send their value only to the neurons of the next layer.
b) The length of chromosomes to determine the maximum value of the set:
is 12.
c) The fuzzy relation (R) given below, is an equivalence relation.
d) The Self Organizing Map (SOM) is a supervised learning technique.
e) In a single layer neural network, if , then the output is -1.
Solve the network to approximate the function:
for , choosing the initial weights and bias as the random numbers.
(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।
(क) क्या निम्नलिखित फलन श्वार्ज़-प्रमेय की आवश्यकताओं को (1,1) पर संतुष्ट करता है? अपने उत्तर की पुष्टि कीजिए। (4)
(ख) निम्नलिखित के स्तब्ध बिन्दु निर्धारित करके उनका वर्गीकरण कीजिए : (6)
(i)
(ii)