Plausible neural network with supervised and unsupervised cluster analysis
US7287014B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Nov 15, 2002 |
| Grant date | Oct 23, 2007 |
| Priority date | — |
| Expiry date | Jun 21, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A plausible neural network (PLANN) is an artificial neural network with weight connection given by mutual information, which has the capability of inference and learning, and yet retains many characteristics of a biological neural network. The learning algorithm is based on statistical estimation, which is faster than the gradient decent approach currently used. The network after training becomes a fuzzy/belief network; the inference and weight are exchangeable, and as a result, knowledge extraction becomes simple. PLANN performs associative memory, supervised, semi-supervised, unsupervised learning and function/relation approximation in a single network architecture. This network architecture can easily be implemented by analog VLSI circuit design.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.