Lesson 2

Neural Networks

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    2 Explain with suitable examples Linearly and Non-linearly separable pattern classification

    Mumbai University > Computer Engineering > Sem 7 > Soft Computing

    Marks: 10 Marks

    Year: Dec 2015

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    3 Explain Learning Vector Quantization Algorithm?

    Mumbai University > Computer Engineering > Sem 7 > Soft Computing

    Marks: 10 Marks

    Year: Dec 2015

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    4 Newton Method .

    Mumbai University > Computer Engineering > Sem 7 > Soft Computing

    Marks: 10 Marks

    Year: Dec 2015

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    5 what is mcculloch pitts neuron model with the help of example.

    Mumbai University > Computer Engineering > Sem 7 > Soft Computing

    Marks: 10 Marks

    Year: May 2016

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    6 what is learning in neural network ?

    Mumbai University > Computer Engineering > Sem 7 > Soft Computing

    Marks: 5 Marks

    Year: May 2016

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    7 Explain error back proportional algorithm with help of flowchart.

    Mumbai University > Computer Engineering > Sem 7 > Soft Computing

    Marks: 10 Marks

    Year: May 2016

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    8 Explain the perceptron learning with example.

    Mumbai University > Computer Engineering > Sem 7 > Soft Computing

    Marks: 5 Marks

    Year: May 2016

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    9 write the short note on : winner take all learning rule in neural network

    Mumbai University > Computer Engineering > Sem 7 > Soft Computing

    Marks: 10 Marks

    Year: May 2016

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    10 write the short note on : character recognition using neural network.

    Mumbai University > Computer Engineering > Sem 7 > Soft Computing

    Marks: 10 Marks

    Year: May 2016

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