Nn-unit-iii
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SRI SARATHI INSTITUTE OF ENGINEERING AND TECHNOLOGY – NUZVID Faculty Name : Ch. Srinivasa Rao Subject Name: Neural Networks II MID Exam Branch / Year/ Semester: CSE / IV / II
I. Fill in the blanks
5 X 1 = 5 Marks
1. Kohonen SOMs operate in two modes________________, _______________ 2. Kohonen self organizing map trains in an _____________________ manner. 3. The main principal in competitive learning is_________________ neurons. 4. Weight updated equation in Kohonen SOM_____________________________ 5. Competitive process is also__________________________________________ II. Definitions
5 X 1 = 5 Marks
1. Clustering_______________________________________________________ 2. Randomizing______________________________________________________ 3. Normalization_____________________________________________________ 4. Vector Quantization________________________________________________ 5. Grossberg Network is_______________________________ manner Network. III. Full forms
5 X 1 =5 Marks
1. LVQ____________________________________________________________ 2. SOM_________________________ SOFM_____________________________ 3. BMU_____________________________________________________________ 4. PCA_____________________________________________________________ 5. POD_____________________________________________________________ IV. Match the following Marks 1. Single Kohonen SOM
5X1=5 ]
a. Robert Hecht-Nielsen
2. Multiple Kohonen SOM from eyes
[
]
b. information
3. Counter Propagation Networks
[
]
c. hearing
]
d. Fukushima
4. Visual cortex
[
[
5. Auditory cortex Kohonen
[
]
e. Teuvo
I. Fill in the blanks
5 X 1 = 5 Marks
1. Kohonen SOMs operate in two modes________________, _______________ 2. Kohonen self organizing map trains in an _____________________ manner. 3. The main principal in competitive learning is_________________ neurons. 4. Weight updated equation in Kohonen SOM_____________________________ 5. Competitive process is also__________________________________________ II. Definitions
5 X 1 = 5 Marks
1. Clustering_______________________________________________________ 2. Randomizing______________________________________________________ 3. Normalization_____________________________________________________ 4. Vector Quantization________________________________________________ 5. Grossberg Network is_______________________________ manner Network. III. Full forms
5 X 1 =5 Marks
1. LVQ____________________________________________________________ 2. SOM_________________________ SOFM_____________________________ 3. BMU_____________________________________________________________ 4. PCA_____________________________________________________________ 5. POD_____________________________________________________________ IV. Match the following Marks 1. Single Kohonen SOM
5X1=5 ]
a. Robert Hecht-Nielsen
2. Multiple Kohonen SOM from eyes
[
]
b. information
3. Counter Propagation Networks
[
]
c. hearing
]
d. Fukushima
4. Visual cortex
[
[
5. Auditory cortex Kohonen
[
]
e. Teuvo
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