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Radial Basis Functions Neuron Model Network Architecture Exact Design (newrbe)

Radial Basis Functions Neuron Model Network Architecture Exact Design (newrbe) More Efficient Design (newrb) Generalized Regression Networks (GRNN) Probabilistic Neural Networks. Radial Basis Networks. Neuron Model.

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Radial Basis Functions Neuron Model Network Architecture Exact Design (newrbe)

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  1. Radial Basis Functions • Neuron Model • Network Architecture • Exact Design (newrbe) • More Efficient Design (newrb) • Generalized Regression Networks (GRNN) • Probabilistic Neural Networks

  2. RadialBasis Networks Neuron Model

  3. The radial basis function has a maximum of 1 when its input is 0. As the distance between w and p decreases, the output increases. Thus, a radial basis neuron acts as a detector that produces 1 whenever the input p is identical to its weight vector p.

  4. Network Architecture: Where R = number of elements in input vector. S1= number of neurons layer 1 S2= number of neurons in layer 2

  5. Generalized Regression Networks • Generalized regression networks (GRNN) is often used for function approximation. Network architecture

  6. Probabilistic Neural Networks • Probabilistic neural networks can be used for classification problems. Network architecture

  7. Thank You

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