Digital neural network executed in integrated circuit technology

US5276773A · kind A · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Karl Knauer · Gauting, DE
• Ulrich Ramacher · Hersbruck, DE
• Juergen Pandel · Feldkirchen-Westerham, DE
• Hans-Joerg Pfleiderer

Key dates

• Filing date: Jul 3, 1989
• Grant date: Jan 4, 1994
• Expiry date: Jul 3, 2009

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/063
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A digital neural network has a plurality of neurons (NR) completely meshed with one another, each of which comprises an evaluation stage having a plurality of evaluators (B) that is equal in number to the plurality of neurons (NR) and each of which comprises a decision stage having a decision unit (E). An adjustment information (INF.sub.E) that effects a defined pre-adjustment of the decision unit (E) can be supplied to every decision unit (E) by a pre-processing means via an information input. A weighting information (INF.sub.G) can be supplied to every evaluator (B) by a pre-processing means via an individual information input. An output information (INF.sub.A) can be output by every decision unit (E) to a post-processing means via a respective individual information output. The information outputs of the decision units (E) are each connected to an individual processing input of all evaluators (B) allocated to the appertaining decision unit (E). Individual processing outputs of the evaluators (B) are connected to individual processing inputs of the decision unit (E) in the appertaining neuron (N), so that every output information (INF.sub.A) can be indirectly fed back onto every …