As an extension of artificial intelligence research, artificial neural networks (ANN) aim to simulate intelligent behavior by mimicking the way that biological neural networks function. In Artificial Neural Networks, an internationalpanel of experts report the history of the application of ANN to chemical andbiological problems, provide a guide to network architectures, training and the extraction of rules from trained networks, and cover many cutting-edge examples of the application of ANN to chemistry and biology. In the tradition of the highly successful Methods in Molecular Biology™ series, this volume exhibits clear, easy-to-use information with many step-by-step laboratory protocols. Comprehensive and state of the art, Artificial Neural Networks is an excellentguide to this accelerating technological field of study. Serves as a detailed, easy-to-use guide to the application of artificial neural networks Includes methods involving the mapping and interpretation of Infra Red spectra and modelling environmental toxicology INDICE: Artificial Neural Networks in Biology and Chemistry - the Evolution of a new Analytical Tool.- Overview of Artificial Neural Networks.- BayesianRegularization of Neural Networks.- Kohonen and Counter-propagation Neural Networks Applied for Mapping and Interpretation of IR Spectra.- Artificial Neural Network Modeling in Environmental Toxicology.- Neural Networks in AnalyticalChemistry.- Application of Artificial Neural Networks for Decision Support inMedicine.- Neural Networks in Building QSAR Models.- Peptide Bioinformatics- Peptide Classification Using Peptide Machines.- Associative Neural Network.- Neural Networks Predict Protein Structure and Function.- The Extraction of Information and Knowledge from Trained Neural Networks.
- ISBN: 978-1-58829-718-1
- Editorial: Humana
- Encuadernacion: Cartoné
- Páginas: 315
- Fecha Publicación: 01/07/2008
- Nº Volúmenes: 1
- Idioma: Inglés