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Fuzzy neuron: method and hardware realization
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Krasowski, Michael J. Prokop, Norman F. |
| Copyright Year | 2014 |
| Description | This innovation represents a method by which single-to-multi-input, single-to-many-output system transfer functions can be estimated from input/output data sets. This innovation can be run in the background while a system is operating under other means (e.g., through human operator effort), or may be utilized offline using data sets created from observations of the estimated system. It utilizes a set of fuzzy membership functions spanning the input space for each input variable. Linear combiners associated with combinations of input membership functions are used to create the output(s) of the estimator. Coefficients are adjusted online through the use of learning algorithms. |
| File Size | 106945 |
| Page Count | 2 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20140002369 |
| Archival Resource Key | ark:/13960/t11p33b42 |
| Language | English |
| Publisher Date | 2014-01-01 |
| Access Restriction | Open |
| Subject Keyword | Electronics And Electrical Engineering Controllers Algorithms Neural Nets Least Squares Method Machine Learning Miniaturization Fuzzy Systems Real Time Operation Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
