The comparison field takes an input vector (a one-dimensional array of values) and transfers it to the recognition field, where its best match is found to be the single neuron whose set of weights (weight vector) most closely matches the input vector.
Its best match is the single neuron whose set of weights (weight vector) most closely matches the input vector. The comparison field takes an input vector (a one-dimensional array of values) and transfers it to its best match in the recognition field.
The comparison field takes an input vector (a one-dimensional array of values) and transfers it to its best match in the recognition field. Its best match is the single neuron whose set of weights (weight vector) most closely matches the input vector.
The comparison field takes an input vector (a one-dimensional array of values) and transfers it to its best match in the recognition field. Its best match is the single neuron whose set of weights (weight vector) most closely matches the input vector.