PURPOSE: To provide a neutral network to give transformation easy to learn.

CONSTITUTION: An input layer 1 is provided with n-pieces of input units and N-pieces of TLT layers (threshold logic transforming layer) 2 at every unit. An output layer 4 is outputted by m pieces of data. At the time of n=1, N=4, input is quadrupled, and a value defined as a data value at every unit becomes the value of each unit of TLT. At the time when the output of each unit of TLT is inputted to the intermediate layer 3 of high order, when weight (coupling coefficient) to the coupled with a j-th intermediate layer unit is defined as wji respectively, the transformation shows shape approximating final output. At the time of n=1, wij×N shows the inclination of each polygonal line, and if the weight wij is seen from a learnt result, an approximate line can be grasped immediately, and the rough grasp of the transformation becomes efficient. Besides, each TLT layer unit comes to share in each part of an input value, and a role each unit plays can be grasped well too.