Pattern Recognition applied in Alcohol and LPG Fuel: Concepts and Methods. Application of Artificial Neural Networks and Fuzzy Inference System.

Vitor Hirayama/ Francisco Javier/ Walter Jaimes

ISBN 10: 3639231678 / ISBN 13: 9783639231670

Published by VDM Verlag Dr. Müller, 2010

About this Item

84 pages. 8.66x5.91x0.19 inches. In Stock. This item is printed on demand.

Seller Inventory # 3639231678

Bibliographic Details

• Title: Pattern Recognition applied in Alcohol and LPG Fuel: Concepts and Methods. Application of Artificial Neural Networks and Fuzzy Inference System.
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2010
• Language: English
• ISBN 10: 3639231678
• ISBN 13: 9783639231670
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

This work shows the results of a robust system developed as an alternative to recognize the quality of alcohol vapor and Liquid Petrol Gas (LPG) heat power in an electric nose. Two methodologies were used to recognize alcohol vapor and LPG patterns. The first approach used a Fuzzy Inference System (FIS) and training algorithms of Artificial Neural Networks (ANN): Backpropagation and Learning Vector Quantization. The second approach consists of develop an LPG heat power recognizing system robust to one-random-sensor-loss. Three systems were used. The first implemented an ANN to recognize data that simulated the failure of a random sensor. This system had 97% of right responses. The second implemented seven ANN?s trained with input data subsets, such that six ANN?s were trained with a different failure sensor, and the seventh ANN was trained with data of all sensors without failure. This system had 99% of right responses. The third implemented an Ensemble Static Learning Machine with ten parallel ANN?s. The results were 97% of right responses. Some ways for hardware implementation of the recognizing system were suggested in DSP and micro-controller pre-built systems.