A neural network approach to snack quality evaluation /
A neural network approach is investigated in this study
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1994.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | A neural network approach is investigated in this study analysis is validated through a comparison of the are presented. Different facets of backpropagation are used as input to a fully connected backpropagation available from the taste panel. Methods of image different topology of backpropagation network. The for the evaluation of the quality of typical snack indicators of snack quality. External texture features network are also investigated for better predictions of network. Sensory data, which are indicators of product network. The capability of the network in evaluating the predicted sensory data from the network and those processing for proper texture and shape and size analysis products. Although quality of food appears mostly quality of snack products is studied by employing quality, are employed as the target or output of the snack quality. subjective, some external features of the product are together with the size and shape parameters of the snacks |
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| Item Description: | "Major subject: electrical Engineering". Vita. |
| Physical Description: | xii, 82 leaves : illustrations ; 28 cm. Also available online. |
| Bibliography: | Includes bibliographical references. |