By James Devillers
Finished and impeccably edited, Neural Networks in QSAR and Drug layout is the 1st ebook to give an all-inclusive insurance of the subject. The e-book offers a practice-oriented advent to the various neural community paradigms, permitting the reader to simply comprehend and reproduce the consequences tested. quite a few examples are unique, demonstrating quite a few functions to QSAR and drug layout. The individuals contain one of the most distinct names within the box, and the booklet presents an exhaustive bibliography, guiding readers to all of the literature regarding a specific form of program or neural community paradigm. The huge index acts as a advisor to the e-book, and makes retrieving info from chapters a simple job. an extra study reduction is a listing of software program with symptoms of availablility and value, in addition to the editors scale score the convenience of use and interest/price ratio of every software program package deal. The presentation of latest, strong instruments for modeling molecular houses and the inclusion of many vital neural community paradigms, coupled with large reference aids, makes Neural Networks in QSAR and Drug layout an important reference resource for these at the frontiers of this box. Key positive factors * offers the 1st assurance of neural networks in QSAR and Drug layout * permits effortless figuring out and replica of the implications defined inside * comprises an exhaustive bibliography with greater than 2 hundred references * offers a listing of appropriate software program applications with availability and cost
Read or Download Neural Networks in QSAR and Drug Design PDF
Similar library management books
Entire and impeccably edited, Neural Networks in QSAR and Drug layout is the 1st ebook to provide an all-inclusive insurance of the subject. The publication offers a practice-oriented advent to different neural community paradigms, permitting the reader to simply comprehend and reproduce the consequences proven.
The fast paced and complicated PR position is turning into more and more vital as libraries have to reply speedy to the altering media panorama and the country's demographic shifts. This guide gets you at the correct PR music with: rules to harness a celeb model and create potent public carrier bulletins; the how-tos of amplifying your message via partnerships; the capacity to advance reasonable podcasts, savvy outreach courses, and distinct occasions; and advice for utilizing gaming to construct pleasure.
Administration additional brings all of the top administration pondering jointly in a single package deal. The sequence fuses key principles with utilized actions to assist managers study and increase how they paintings in perform. administration additional is a thrilling, new method of administration improvement. The books give you the foundation for self-paced studying at point 4/5.
This e-book offers an summary of methods to help researchers and practitioners to discover methods of venture learn within the info literacy box. the 1st bankruptcy offers an introductory assessment of study through Dr Kirsty Williamson (author of analysis equipment for college students, lecturers and pros: details administration and platforms) and this units the scene for the remainder of the chapters the place each one writer explores the major facets of a selected approach and explains the way it might be utilized in perform.
- Libraries and Librarianship in China
- An American Political Archives Reader
- Dealing With Difficult People in the Library
- School Library Management: Just the Basics
- The Government of Risk: Understanding Risk Regulation Regimes
- Managing Towards Supply Chain Maturity: Business Process Outsourcing and Offshoring
Additional info for Neural Networks in QSAR and Drug Design
35, 905-911. Guillon, M. and Crommelynck, V. (1991). Les applications de l'intelligence artificielle ~i la gestion des r6seaux de distribution. -L'Eau 11, 519-526. D. (1994). Artificial neural networks in computer-assisted classification of heart sounds in patients with porcine bioprosthetic valves. Med. Biol. Eng. Comput. 32, 311-316. C. (1992). Multivariate Data Analysis with Readings. Macmillan Publishing Company, New York, p. 544. 32 J. Devillers Hamad, D. and Betrouni, M. 995). Artificial neural networks for nonlinear projection and exploratory data analysis.
Neural network based recognition of flow injection patterns. Analyst 118, 347-354. V. (1990). Integrating neural nets and expert systems. AI Expert June, 54-59. , and Hijiya, S. (1991). Back-propagation algorithm which varies the number of hidden units. Neural Networks 4, 61-66. E. (1994a). Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines. J. Comp. Aided Mol. Des. 8, 405-420. E. (1994b).
Neural networks that learn to predict probabilities: Global models of nuclear stability and decay. Neural Networks 8, 291-311. , and Achari, B. (1993). Quantitative structure-activity relationship studies of aromatic and heteroaromatic nitro compounds using neural network. Bioorg. Med. Chem. Lett. 3, 329-332. E. (1989). Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley Publishing Company, Reading, p. 412. G. (1993). Structure-activity relationships from molecular similarity matrices.