A Point‐to‐Point Tracking Algorithm Based on the Theory of Floating Pixels

This paper presents an Multi Weights Neurons approach to determine the delay time for a heating, ventilating and airconditioning (HVAC) plan to respond to control actions. The Multi Weights Neurons is a fully connected four-layer network. An acceleration technique was used to improve the General Delta Rule for the learning process. Experimental data for heating and cooling modes were used with both the Multi Weights Neurons and a traditional mathematical method to determine the delay time. The results show that Multi Weights Neurons can be used effectively determining the delay time for HVAC systems.

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Coverage in Biomimetic Pattern Recognition

Cao

Zhao

2007

Lecture Notes in Computer Science

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A Point‐to‐Point Tracking Algorithm Based on the Theory of Floating Pixels

Cited by 8 publications

References 4 publications

A Posture Recognition System for Rat Cyborg Automated Navigation

A Posture Recognition System for Rat Cyborg Automated Navigation

Determining of the Delay Time for a Heating Ventilating and Air-Conditioning Plant Using Multi-Weights Neurons Approach

Coverage in Biomimetic Pattern Recognition

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