Neural systems with range reducers and/or extenders
US6601051B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 11, 1997 |
| Grant date | Jul 29, 2003 |
| Priority date | — |
| Expiry date | Jul 11, 2017 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03H2222/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural system is disclosed for processing an exogenous input process to produce a good outward output process with respect to a performance criterion, even if the range of one or both of these processes is necessarily large and/or keeps necessarily expanding during the operation of the neural system. The disclosed neural system comprises a recurrent neural network (RNN) and at least one range extender or reducer, each of which is a dynamic transformer. A range reducer transforms dynamically at least one component of the exogenous input process into inputs to at least one input neuron of said RNN. A range extender transforms dynamically outputs of at least one output neuron of said RNN into at least one component of the outward output process. There are many types of range extender and reducer, which have different degrees of effectiveness and computational costs. For a neural system under design, the types of range extenders and/or reducers are selected jointly with the architecture of the RNN in consideration of the neural system's processing performance with respect to the mentioned performance criterion, the RNN's size and the computational cost of selected range extenders and…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.