Artificial Neural Network in FPGA for Temperature Prediction
| Autor: | Carlos M. Travieso, Jesús B. Alonso, Jose L. Vasquez, Santiago T. Pérez |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Floating point
Artificial neural network business.industry Computer science Speech recognition Computer Science::Neural and Evolutionary Computation Design tool Fixed point Computer Science::Hardware Architecture Multilayer perceptron Embedded system VHDL Verilog Hardware_ARITHMETICANDLOGICSTRUCTURES business Field-programmable gate array computer Computer hardware computer.programming_language |
| Zdroj: | Advances in Nonlinear Speech Processing ISBN: 9783642250194 NOLISP |
| DOI: | 10.1007/978-3-642-25020-0_14 |
| Popis: | In this work a temperature predictor has been designed. The prediction is made by an artificial neural network multilayer perceptron. Initially, the floating point algorithm was evaluated. Afterwards, the fixed point algorithm was designed on a Field Programmable Gate Array (FPGA). The architecture was fully parallelized and a maximum delay of 74 ns was obtained. The design tool used is System Generator of Xilinx. |
| Databáze: | OpenAIRE |
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