1. A recognition apparatus comprising: feature extracting means for extracting values of an input to be recognized and for inputting extracted values into a recurrent neural network, and a learning section for causing said recurrent neural network to learn, the learning section comprising: input data storage means for storing input learning data of a plurality of continuous data streams within a plurality of categories; input data selection means for selecting input learning data of a plurality of continuous data streams to be learned within a plurality of categories from said input data storage means; output data storage means comprising a positive output data storage means and a negative output data storage means for storing output learning data of a plurality of continuous data streams within a plurality of categories each of which corresponds to an input learning data category; output data selection means for selecting output learning data of a plurality of continuous data streams to be learned, each of which corresponds to an input learning data category selected by said input data selection means from said output data storage means; input data connecting means for connecting the input learning data selected by said input data selection means into a single continuous data stream; output data connecting means for connecting the output learning data selected by said output data selection means into a single continuous data stream in correlation with the connection of said input learning data; and learning control means for inputting said connected input learning data stream into said feature extracting means and for changing weightings at connections of neuron elements on the basis of outputs of said recurrent neural network and said connected output learning data stream.