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Artificial neural networks 2nd ed

Artificial neural networks 2nd ed (Loan 3 times)

Material type
단행본
Personal Author
Cartwright, Hugh M., 1948-.
Title Statement
Artificial neural networks / edited by Hugh Cartwright.
판사항
2nd ed.
Publication, Distribution, etc
New York, NY :   Humana Press :   Springer,   2015.  
Physical Medium
xi, 340 p. : ill. (some col.) ; 27 cm.
Series Statement
Methods in Molecular Biology,1940-6029 ; 1260
ISBN
9781493922383
General Note
Includes bibliographical references and index.  
Content Notes
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 multitasking model for the discovery of potent and safer antibacterial agents -- Use of artificial neural networks in the QSAR prediction of physicochemical 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: toward 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 behavior: 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 -- Preface. Artificial neural networks.
Subject Added Entry-Topical Term
Neural networks (Computer science) --Laboratory manuals. Artificial intelligence --Biological applications --Laboratory manuals. Neural Networks (Computer).
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082 0 4 ▼a 006.3/2 ▼2 23
084 ▼a 006.32 ▼2 DDCK
090 ▼a 006.32 ▼b A7912-2
245 0 0 ▼a Artificial neural networks / ▼c edited by Hugh Cartwright.
250 ▼a 2nd ed.
260 ▼a New York, NY : ▼b Humana Press : ▼b Springer, ▼c 2015.
300 ▼a xi, 340 p. : ▼b ill. (some col.) ; ▼c 27 cm.
490 1 ▼a Methods in Molecular Biology, ▼x 1940-6029 ; ▼v 1260
490 1 ▼a Springer protocols
500 ▼a Includes bibliographical references and index.
505 0 0 ▼t Introduction to the analysis of the intracellular sorting information in protein sequences: from molecular biology to artificial neural networks -- ▼t Protein structural information derived from NMR chemical shift with the neural network program TALOS-N -- ▼t Predicting bacterial community assemblages using an artificial neural network approach -- ▼t A general ANN-based multitasking model for the discovery of potent and safer antibacterial agents -- ▼t Use of artificial neural networks in the QSAR prediction of physicochemical properties and toxicities for REACH legislation -- ▼t Artificial neural network for charge prediction in metabolite identification by mass spectrometry -- ▼t Prediction of bioactive peptides using artificial neural networks -- ▼t AutoWeka: toward an automated data mining software for QSAR and QSPR studies -- ▼t Ligand biological activity predictions using fingerprint-based artificial neural networks (FANN-QSAR) -- ▼t GENN: a general neural network for learning tabulated data with examples from protein structure prediction -- ▼t Modulation of grasping force in prosthetic hands using neural network-based predictive control -- ▼t Application of artificial neural networks in computer-aided diagnosis -- ▼t Developing a multimodal biometric authentication system using soft computing methods -- ▼t Using neural networks to understand the information that guides behavior: a case study in visual navigation -- ▼t Jump neural network for real-time prediction of glucose concentration -- ▼t Preparation of Ta-O-based tunnel junctions to obtain artificial synapses based on memristive switching -- ▼t Architecture and biological applications of artificial neural networks: a tuberculosis perspective -- ▼t 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 -- ▼t QSAR/QSPR as an application of artificial neural networks -- ▼t Preface. Artificial neural networks.
650 0 ▼a Neural networks (Computer science) ▼v Laboratory manuals.
650 0 ▼a Artificial intelligence ▼x Biological applications ▼v Laboratory manuals.
650 2 ▼a Neural Networks (Computer).
700 1 ▼a Cartwright, Hugh M., ▼d 1948-.
830 0 ▼a Springer protocols.
830 0 ▼a Methods in molecular biology (Clifton, N.J.) ; ▼v 1260.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.32 A7912-2 Accession No. 121232459 Availability In loan Due Date 2017-07-13 Make a Reservation Available for Reserve R Service M

Contents information

Table of Contents

1. Introduction To The Analysis Of The Intracellular Sorting Information In Protein Sequences: From Molecular Biology To Artificial Neural Networks R. Claudio Aguilar 2. Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N Yang Shen and Ad Bax 3. Predicting Bacterial Community Assemblages using an Artificial Neural Network Approach Peter Larsen, Yang Dai and Frank R. Collart 4. A General ANN-Based Multi-Tasking Model For The Discovery Of Potent and Safer Antibacterial Agents A. Speck-Planche and M. N. D. S. Cordeiro 5. Use of Artificial Neural Networks in the QSAR Prediction of Physico-chemical Properties and Toxicities for REACH Legislation John C. Dearden and Philip H. Rowe 6. Artificial Neural Network for Charge Prediction in Metabolite Identification by Mass Spectrometry J. H. Miller, B. T. Schrom, and L. J. Kangas 7. Prediction of Bioactive Peptides using Artificial Neural Networks David Andreu and Marc Torrent 8. AutoWeka: Towards an Automated Data Mining Software for QSAR and QSPR Studies Chanin Nantasenamat, Apilak Worachartcheewan, Saksiri Jamsak, Likit Preeyanon, Watshara Shoombuatong, Saw Simeon, Prasit Mandi, Chartchalerm Isarankura-Na-Ayudhya and Virapong Prachayasittikul 9. Ligand Biological Activity Predictions Using Fingerprint-based Artificial Neural Networks (FANN-QSAR) Kyaw Z. Myint and Xiang-Qun Xie 10. GENN: A General Neural Network for Learning Tabulated Data with Examples from Protein Structure Prediction Eshel Faraggi and Andrzej Kloczkowski 11. Modulation of Grasping Force in Prosthetic Hands Using Neural Network-based Predictive Control Cristian F. Pasluosta and Alan W.L. Chiu 12. Application of Artificial Neural Networks in Computer-aided Diagnosis Bei Liu 13. Developing A Multimodal Biometric Authentication System Using Soft Computing Methods Mario Malcangi 14. Using Neural Networks To Understand The Information That Guides Behaviour: A Case Study In Visual Navigation Andrew Philippides, Paul Graham, Bart Baddeley and Philip Husbands 15. Jump Neural Network For Real-Time Prediction Of Glucose Concentration Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino and Claudio Cobelli 16. Preparation of Ta-O-based Tunnel Junctions To Obtain Artificial Synapses Based On Memristive Switching Stefan Niehorster and Andy Thomas 17. Architecture and Biological Applications of Artificial Neural Networks: a Tuberculosis Perspective Jerry A Darsey 18. 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 Sandhya Samarasinghe and Amphun Chaiboonchoe 19. QSAR/QSPR as an Application of Artificial Neural Networks Narelle Montanez-Godinez, Aracely C. Martinez-Olguin, Omar Deeb, Ramon Garduno-Juarez, Guillermo Ramirez-Galicia


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