Neural Networks in QSAR and Drug Design by James Devillers

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

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Neural Networks in QSAR and Drug Design

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.

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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.

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