XII
Preface
Dubelaar demonstrate possibilities for the identification of marine microalgae by
the analysis of flow cytometric pulse shapes with the help of neural networks.
Robertson and Morison applied a probabilistic neural network for the automation
of age estimation in three fish species. Thin-sections of sagittalotoliths viewed
with transmitted light were used for all species, and the number of opaque
increments used to estimate the age. The neural network correctIy classified a
larger range of age classes. Foody gives a representative summary of neural
network algorithms currently used for the pattern recognition and classification of
remotely sensed landscape images.
At this point I want to thank all of the authors who responded with great
enthusiasm to my request for chapters to the theme of the book and delivered on
time. I am also grateful to 24 colleagues and friends in Australia and overseas who
significantly improved the quality of chapters by their critical reviews.
Finally I express my thanks to Dr. Christi an Witschel and Agata Oelschlaeger
of the Geosciences Editorial Team of the Springer Verlag for their close
collaboration in producing the book.
Friedrich Recknagel
Adelaide, 15 April 2002