Computer the output for the neurons in the kohonen networks, the related data is given below:
i) Input to Kohnen neural network:
Input Neuron-1
Input Neuron-2
ii) Connected weights between the neurons are as given below:
For a Kohonen network, the output of each neuron is computed as the weighted sum of inputs. Given: Inputs: ( I_1 = 0.5, \quad I_2 = 0.75 ____ ______ _________ ___ _______ __________ ______ ________ _________ ____.
_______ ___ ________ ________ _______ ______ ________ _______ _______ __________.
_____ ___ _________ ________ _______ __________ __________ __________ ___ ___ _______ ________.
______ ____ _________ _______ _________ ___ ________ ______.
_____ _____ ___ _________ ______ ______ ___ _____.
________ _____ __________ ___ _____.
__________ ______ _____ ___ ___ __________ ___ ______ ______ __________.
_____ _____ _____ __________ ____ ____ __________ _______ _____ _________ __________.
__________ ________ _____ _____ ________ ___ _______ _________.
________ _________ ________ ________ _____ ___ _______.
___ ___ ______ ___ _______ _____ _____ ____ _________ ___ __________ _________.
______ __________ _________ ________ _________ _______ _____.
________ _________ _________ __________ ________ ______ _____.
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Determine the fuzzy relation T as a composition between the fuzzy relations R and S given below by using max-min and max-product:
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.
(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)
(क) के मान निकालिए, जहाँ C
से प्राप्त वक्र है।
(ख) द्विश: समाकलन का प्रयोग करके दीर्घवृत्तज
Consider a dataset of five observations given in the following table, each of which has two features f1 and f2:
| x₁ | x₂ | x₃ | x₄ | x₅ | |
|---|---|---|---|---|---|
| f₁ | 2 | 3 | 4 | 3 | 5 |
| f₂ | 6 | 7 | 5 | 4 | 6 |
Assume the number of cluster and the real number
. Also, assume the initial cluster centers as
and
. Apply fuzzy c-mean algorithm to find the modified cluster center after one iteration.
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)
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.