## Competitively Inhibited Neural Networks for Adaptive Parameter Estimation |

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### Contents

Introduction | 1 |

The CINN Equations | 7 |

The CINN Algorithm | 17 |

Copyright | |

7 other sections not shown

### Common terms and phrases

activated neurons activation width applied input Artificial Neural Networks assumed assumption AVQ algorithm behaviour bias boundary layer called Cauchy distributed chapter CINN algorithm CINN equations CINN's CINNPE CINNPE2 CINNPE2 estimate function clustering constraints competitive interaction competitive learning computed conservation law constant continuum model defined density function density's derived detection probability differential equation dynamics exponential sources external stimulus function Gaussian global search property implementations input vector integral ith neuron Kalman filter lemma likelihood function locate LTM clusters LTM space LTM state equation LTM state vectors method of characteristics microradians modal estimate neural density neural flux neural network noise nonlinear number of neurons observation operator output parallel computers parameter estimation problem plot point attractor positive subflux predicted presentation interval primary mode reset righthand scalar shows sliding threshold test SSC algorithm switching neurons theorem track hypotheses Track Initiation turn active update variance weight space zero