Goto

Collaborating Authors

Alaska Wildlife Troopers Seize Illegally Caught Salmon

U.S. News

Troopers cited operators of four vessels for commercial fishing violations. Three vessel operators from Homer were issued citations for illegally driving fish and other counts. An Anchor Point vessel operator was cited for failure to obtain a fish transporter permit, failure to complete fish tickets and unlawful possession of commercial fish.


Operators in SQL

#artificialintelligence

The NOT operator displays a record if the condition(s) is NOT TRUE. The OR operator displays a record if any one of the condition(s) separated by OR is TRUE.


A Comparison of Discrete-Time Operator Models for Nonlinear System Identification

Neural Information Processing Systems

We present a unifying view of discrete-time operator models used in the context of finite word length linear signal processing. Comparisons are made between the recently presented gamma operator model, and the delta and rho operator models for performing nonlinear system identification and prediction using neural networks. A new model based on an adaptive bilinear transformation which generalizes all of the above models is presented.


A Comparison of Discrete-Time Operator Models for Nonlinear System Identification

Neural Information Processing Systems

We present a unifying view of discrete-time operator models used in the context of finite word length linear signal processing. Comparisons are made between the recently presented gamma operator model, and the delta and rho operator models for performing nonlinear system identification and prediction using neural networks. A new model based on an adaptive bilinear transformation which generalizes all of the above models is presented.


A Comparison of Discrete-Time Operator Models for Nonlinear System Identification

Neural Information Processing Systems

We present a unifying view of discrete-time operator models used in the context of finite word length linear signal processing. Comparisons are made between the recently presented gamma operator model, and the delta and rho operator models for performing nonlinear system identification and prediction using neural networks. A new model based on an adaptive bilinear transformation which generalizes all of the above models is presented.