Buch, Englisch, Band 458, 254 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g
Reihe: Methods in Molecular Biology
Methods and Applications
Buch, Englisch, Band 458, 254 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-61737-738-9
Verlag: Humana Press
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 international panel of experts report the history of the application of ANN to chemical and biological 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 excellent guide to this accelerating technological field of study.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Naturwissenschaften Biowissenschaften Biowissenschaften Neurobiologie, Verhaltensbiologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
Weitere Infos & Material
Artificial Neural Networks in Biology and Chemistry—The Evolution of a New Analytical Tool.- Overview of Artificial Neural Networks.- Bayesian Regularization of Neural Networks.- Kohonen and Counterpropagation Neural Networks Applied for Mapping and Interpretation of IR Spectra.- Artificial Neural Network Modeling in Environmental Toxicology.- Neural Networks in Analytical Chemistry.- Application of Artificial Neural Networks for Decision Support in Medicine.- 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.
