초록 ▼

A neutral net in which new nodes and connections are created in both input and intermediate layers during training, which is by punishment, reward and teaching. This can use a small increase in memory requirement to preclude the necessity for long training times applicable problems in speech and nat

A neutral net in which new nodes and connections are created in both input and intermediate layers during training, which is by punishment, reward and teaching. This can use a small increase in memory requirement to preclude the necessity for long training times applicable problems in speech and natural language processing, video recognition and simple logic functions.

대표청구항 ▼

A trainable artificial neural network comprising: input layer means for inputting sets of data items and generating node outputs, each node output corresponding to an occurrence anywhere in a set of a respective predetermined data item; output layer means for responding to the generation of said nod

A trainable artificial neural network comprising: input layer means for inputting sets of data items and generating node outputs, each node output corresponding to an occurrence anywhere in a set of a respective predetermined data item; output layer means for responding to the generation of said node outputs by producing at least one net output, each net output depending upon a plurality of such node outputs weighted by corresponding weight values; means for storing given data items in said set, each given data item stored not corresponding to any said respective predetermined data item; and means for causing said input layer means to thereafter generate node outputs corresponding to occurrences in a said set of respective said given data items.