Artificial Neural Networks
Springer-Verlag New York Inc.
978-1-4939-2238-3 (ISBN)
Authoritative and practical, Artificial Neural Networks: Second Edition aids scientists in continuing to study Artificial Neural Networks (ANNs).
Introduction To The Analysis Of The Intracellular Sorting Information In Protein Sequences: From Molecular Biology To Artificial Neural Networks.- Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N.- Predicting Bacterial Community Assemblages using an Artificial Neural Network Approach.- A General ANN-Based Multi-Tasking Model For The Discovery Of Potent and Safer Antibacterial Agents.- Use of Artificial Neural Networks in the QSAR Prediction of Physico-chemical Properties and Toxicities for REACH Legislation.- Artificial Neural Network for Charge Prediction in Metabolite Identification by Mass Spectrometry.- Prediction of Bioactive Peptides using Artificial Neural Networks.- AutoWeka: Towards an Automated Data Mining Software for QSAR and QSPR Studies.- Ligand Biological Activity Predictions Using Fingerprint-based Artificial Neural Networks (FANN-QSAR).- GENN: A General Neural Network for Learning Tabulated Data with Examples from Protein Structure Prediction.- Modulation of Grasping Force in Prosthetic Hands Using Neural Network-based Predictive Control.- Application of Artificial Neural Networks in Computer-aided Diagnosis.- Developing A Multimodal Biometric Authentication System Using Soft Computing Methods.- Using Neural Networks To Understand The Information That Guides Behaviour: A Case Study In Visual Navigation.- Jump Neural Network For Real-Time Prediction Of Glucose Concentration.- Preparation of Ta-O-based Tunnel Junctions To Obtain Artificial Synapses Based On Memristive Switching.- Architecture and Biological Applications of Artificial Neural Networks: a Tuberculosis Perspective.- Neural Networks And Fuzzy Clustering Methods For Assessing The Efficacy Of Microarray Based Intrinsic Gene Signatures In Breast Cancer Classification And The Character And Relations Of Identified Subtypes.- QSAR/QSPR as an Application of Artificial Neural Networks.
Reihe/Serie | Methods in Molecular Biology ; 1260 |
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Zusatzinfo | 65 Illustrations, color; 27 Illustrations, black and white; XI, 340 p. 92 illus., 65 illus. in color. With online files/update. |
Verlagsort | New York |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Naturwissenschaften ► Biologie ► Mikrobiologie / Immunologie | |
Naturwissenschaften ► Biologie ► Zellbiologie | |
Schlagworte | ANN • Artificial Intelligence • Artificial Neural Networks • bacterial communities • biometric authentication • gene signatures • Mass Spectrometry • metabolite identification |
ISBN-10 | 1-4939-2238-6 / 1493922386 |
ISBN-13 | 978-1-4939-2238-3 / 9781493922383 |
Zustand | Neuware |
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