发明名称 NEURONAL NETWORK FOR MODELING A PHYSICAL SYSTEM, AND A METHOD FOR FORMING SUCH A NEURONAL NETWORK
摘要 Neuronal network for modeling an output function that describes a physical system using functionally linked neurons, each of which is assigned a transfer function, allowing it to transfer an output value determined from said neuron to the next neuron that is functionally connected to it in series in the longitudinal direction of the network, as an input value, wherein the functional relations necessary for linking the neurons are provided within only one of at least two groups of neurons arranged in a transverse direction and between one input layer and one output layer, wherein the groups comprise at least two intermediate layers arranged sequentially in a longitudinal direction, each with at least one neuron.
申请公布号 CA2415720(C) 申请公布日期 2012.11.27
申请号 CA20032415720 申请日期 2003.01.07
申请人 EADS DEUTSCHLAND GMBH 发明人 SEIFERT, JOST
分类号 G06N3/02;G06N3/04 主分类号 G06N3/02
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