Learning problem to be solved

• Suppose we have an input pattern (0 1)

• We have a single output pattern (1)

• We have a net input of -0.1, which gives an output pattern of (0)

• How could we adjust the weights, so that this situation is remedied and the spontaneous output matches our target output pattern of (1)?