Invention Grant
US08027942B2 Method and circuits for associating a complex operator to each component of an input pattern presented to an artificial neural network
失效
用于将复杂算子与呈现给人造神经网络的输入模式的每个分量相关联的方法和电路
- Patent Title: Method and circuits for associating a complex operator to each component of an input pattern presented to an artificial neural network
- Patent Title (中): 用于将复杂算子与呈现给人造神经网络的输入模式的每个分量相关联的方法和电路
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Application No.: US09951786Application Date: 2001-09-12
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Publication No.: US08027942B2Publication Date: 2011-09-27
- Inventor: Ghislain Imbert de Tremiolles , Pascal Tannhof
- Applicant: Ghislain Imbert de Tremiolles , Pascal Tannhof
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent David A. Cain
- Priority: EP00480119 20001213
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06E1/00 ; G06E3/00 ; G06G7/00
Abstract:
The method and circuits of the present invention aim to associate a complex component operator (CC_op) to each component of an input pattern presented to an input space mapping algorithm based artificial neural network (ANN) during the distance evaluation process. A complex operator consists in the description of a function and a set of parameters attached thereto. The function is a mathematical entity (either a logic operator e.g. match(Ai,Bi), abs(Ai−Bi), . . . or an arithmetic operator, e.g. >,
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