Series:

Chapman & Hall/CRC Mathematical & Computational Biology

1 total work

Cover of Introduction to Neural Networks for Life Sciences and Ecology
Exploring the use of neural networks in predictive modeling, clustering, and classification, this text presents fundamental concepts, theoretical considerations, unifying neural networks principles, and commonly accepted methods of biological and ecological modeling. Contrasting contemporary methods with their traditional counterparts, it covers regression, principle component analysis, and various classification and clustering techniques. Ideal for a one-semester course on applied mathematical and statistical modeling, the text includes selection-based sampling errors and their corrections. It also contains exercises and examples, along with computational resources on a supplemental website.