论文信息 - Analysing Complex Sensory Data by Non-Linear Artificial Neural Networks - 字舞流文

Analysing Complex Sensory Data by Non-Linear Artificial Neural Networks

Knut Kvaal | Jean A. McEwan

[1] J. R. Piggott,et al. Sensory analysis of foods. , 1988 .

[2] Timothy Masters,et al. Practical neural network recipes in C , 1993 .

[3] R. Palmer,et al. Introduction to the theory of neural computation , 1994, The advanced book program.

[4] Tormod Næs,et al. Artificial Neural Networks in Multivariate Calibration , 1993 .

[5] J. Piggott. Statistical procedures in food research , 1986 .

[6] Herman Wold,et al. Soft modelling: The Basic Design and Some Extensions , 1982 .

[7] G. Smith,et al. Food research and data analysis , 1983 .

[8] H. H. Thodberg,et al. Optimal minimal neural interpretation of spectra , 1992 .

[9] Edwina L. Rissland,et al. Cognitive Science: An Introduction , 1987 .

[10] Yoh-Han Pao,et al. Adaptive pattern recognition and neural networks , 1989 .

[11] S. Wold,et al. Multivariate Data Analysis in Chemistry , 1984 .

[12] Erika Kress-Rogers,et al. Instrumentation and Sensors for the Food Industry , 1993 .

[13] Bruce R. Kowalski,et al. Chemometrics, mathematics and statistics in chemistry , 1984 .

[14] Bruce R. Kowalski,et al. Predicting sensory profiles from external instrumental measurements , 1989 .

[15] B. Kowalski,et al. Partial least-squares regression: a tutorial , 1986 .

[16] Igor Aleksander,et al. Introduction to Neural Computing , 1990 .