HVAC Control in the New Millennium.pdf - HVAC.Amickracing

HVAC Control in the New MillenniumFigure 6-6. Neural net processing analogycan consist of multiple slabs.Each node processes the input it receives, uses these connectionsand provides a continuous output to other processing elements using itsoutgoing connections. Like biological systems, the strengths of theseconnections may change.The different ways the processing elements in a network are connected,how the processing elements process their information, and howthe connection strengths are changed make up the neural network.There are more than 100 different types of neural networks and thisnumber is still growing.Linear programs and other older modeling techniques require thatan algorithm describe how the system should proceed. Data is fetchedwhen needed for execution of the instructions and the results stored.These operations are performed in a deterministic and sequential manner.Neural networks consist of heavily interconnected processing elementsthat do not store information. The knowledge that is stored dependson the way the processing elements are connected and by theimportance of each connection, known as its weight.Rather than being programmed, neural networks are trained. Thenetwork adjusts itself based on a specified learning rule that corrects theresponse to a desired response. Many representative samples are neededby a neural network in order for it to learn its rules for processingknowledge.©2001 by The Fairmont Press, Inc. All rights reserved.