A study of the Intel ETANN VLSI neural network for an electron isolation trigger

Technical Report · Thu Oct 01 04:00:00 EDT 1992

DOI:https://doi.org/10.2172/6855175· OSTI ID:6855175

Lindsey, C S; Denby, B

A neural network circuit structure was previously proposed for making an isolated electron trigger for the CDF plug calorimeter. Here we discuss a study of the isolation performance of the Intel ETANN (Electrically Trainable Analog Neural Network) chip. We used the PC based ETANN development system and Monte Carlo generated shower patterns to test the chip. A C ++ application program was developed that runs within the development system but extends chip control and testing capabilities beyond the standard routines. With this program several configurations of the chip parameters were tested and the results are discussed here.

• Research Organization: Fermi National Accelerator Lab., Batavia, IL (United States)
• Sponsoring Organization: DOE; USDOE, Washington, DC (United States)
• DOE Contract Number: AC02-76CH03000
• OSTI ID: 6855175
• Report Number(s): FNAL-TM-1798; ON: DE93004713
• Country of Publication: United States
• Language: English

Related Subjects

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99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
CALCULATION METHODS
ELECTRONIC CIRCUITS
FERMILAB COLLIDER DETECTOR
MEASURING INSTRUMENTS
MONTE CARLO METHOD
NEURAL NETWORKS
PERFORMANCE
PULSE CIRCUITS
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SHOWER COUNTERS
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