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Titlebook: Adaptive Information Processing; An Introductory Surv Jeffrey R. Sampson Book 1976 Springer-Verlag New York Inc. 1976 Information.Processin

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期刊全称Adaptive Information Processing
期刊简称An Introductory Surv
影响因子2023Jeffrey R. Sampson
视频video
学科分类Monographs in Computer Science
图书封面Titlebook: Adaptive Information Processing; An Introductory Surv Jeffrey R. Sampson Book 1976 Springer-Verlag New York Inc. 1976 Information.Processin
影响因子This book began as a series of lecture notes for a course called Introduc­ tion to Adaptive Systems which I developed for undergraduate Computing Science majors at the University of Alberta and first taught in 1973. The objective of the course has been threefold: (l) to expose undergraduate computer scientists to a variety of subjects in the theory and application of computation, subjects which are too often postponed to the graduate level or never taught at all; (2) to provide undergraduates with a background sufficient to make them effective participants in graduate level courses in Automata Theory, Biological Information Processing, and Artificial Intelligence; and (3) to present a personal viewpoint which unifies the apparently diverse aspects of the subject matter covered. All of these goals apply equally to this book, which is primarily designed for use in a one semester undergraduate computer science course. I assume the reader has a general knowledge of computers and programming, though not of particular machines or languages. His mathematical background should include basic concepts of number systems, set theory, elementary discrete probability, and logic.
Pindex Book 1976
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Introductionhich it never tires -Hazlitt In his Nobel lecture Purcell commented that when he saw snow in New England after the discovery of NMR, it appeared like "heaps of protons quietly precessing in earth‘s magnetic field. " If he were to make the comment in the context of how NMR is being used today, he cou
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Communication theory its regulation, for examining cellular energetics, for monitoring physiologically relevant metabolic events, and for the assessment of tissue viability (1–11). This emergence to a position of prominence has occurred despite several restrictions inherent to the technique: observation is limited to N
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Turing machinesto gases, liquids, liquid crystals and solids (including polymers). Biochemists use it routinely for determining the structures of peptides and proteins, and it is also widely used in medicine (where it is often called MRI, Magnetic Resonance Imaging). With the advent of spectrometers operating at v
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erimental data with sophisticated theoretical models. At the heart of these models stands the Landau [.] and Zener [.] (LZ) derivation of quantum tunneling between levels, which at resonance have a tunnel splitting ., but are brought in to and out off resonance by a time-dependent field. This theory
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Biochemical coding and controlNMR) und zweidimensionale NMR Spektren gegeben sind..Beispiel 018: .Ordnen Sie die Signale der Struktur dieses Diels-Alder-Produktes zu.Aus den .H- und .C-NMR (DEPT) Spektren lassen sich die Signale der Methylengruppe (halbe Intensität der .H-Signale von 6. und 6.) und der Carbonylkohlenstoffe (4) e
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Neural input—outputes a brief introduction to the physical and technical aspects of NMR. This is followed by the atlas section, which pursues a number of objectives. On the basis of two important NMR imaging techniques, the spin-echo technique and the inversion-recovery technique, those experi­ enced in CT are given t
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