Pattern recognition: statistical, structural and neural approaches
Pattern recognition: statistical, structural and neural approaches
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Mineral identification using artificial neural networks and the rotating polarizer stage
Computers & Geosciences - Geological Applications of Digital Imaging
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Fuzzy logic and neuro-fuzzy modelling of diesel spray penetration
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Production testing of spark plugs using a neural network
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
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This paper describes an evaluation of a neural network technique for modelling fuel spray penetration in the cylinder of a diesel internal combustion engine. The model was implemented using a multi-layer perceptron neural network. Two engine operating parameters were used as inputs to the model, namely injection pressure and in-cylinder pressure. Spray penetration length were modelled on the basis of these two inputs. The model was validated using test data that had not been used during training, and it was shown that semi-automated classification of complex diesel spray data is possible. The work lays the foundations for the establishment of an improved neural network paradigm for totally automatic, fast, accurate analysis of such complex data, thus saving many man-hours of tedious manual data analysis.