1. A learning type waveform recognizer for recognizing a waveform of a signal comprising: a sequential signal extractor for receiving input terminals signal and for extracting sequential changes of said input signal at each point on a transition axis; a learning and recognition section, including an input connected to said sequential signal extractor for receiving extracted sequential changes of said input signal, and a plurality of output terminals, wherein each of said plurality of output terminals corresponds to each one of a plurality of labelled known waveforms, said learning and recognition section performing a learning operation to obtain a relationship between an output terminal and a known waveform by inputting each one of a plurality of labelled known waveforms to said learning and recognition section via said sequential signal extractor, obtaining a signal at an output terminal indicative of the maximum degree of coincidence between an inputted known waveform and an output terminal, and labelling each output terminal to correspond to each inputted known waveform, said learning and recognition section performing a recognition operation by inputting an unknown signal via said sequential signal extractor, and outputting signals from said output terminals indicative of a degree of coincidence between said unknown signal and the labelled output terminals based on said relationship between an output terminal and a known waveform; and an integrated recognition section for integrating each of said signals output from said plurality of output terminals along a transition axis and recognizing a waveform of said unknown signal based on values obtained by integration.