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Books on the topic 'Evolutionary development of neural network'

Author: Grafiati

Published: 28 June 2021

Last updated: 5 February 2022

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1

Lou, Padgett Mary, Lindblad Thomas, Society for Computer Simulation, and United States. National Aeronautics and Space Administration., eds. Sixth, Seventh, and Eighth Workshops on Virtual Intelligence: Academic/Industrial/NASA/Defense: Technical interchange and tutorials : International Conferences on Virtual Intelligence, Fuzzy Systems, Evolutionary Computing, and Virtual Reality 1996. SPIE, 1996.

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2

C, Jain L., and Johnson R. P, eds. Automatic generation of neural network architecture using evolutionary computation. World Scientific, 1997.

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3

Jorgensen, Charles C. Development of a sensor coordinated kinematic model for neural network controller training. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1990.

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4

International, Symposium on Computational Intelligence and Design (1st 2008 Wuhan China). Proceedings of the 2008 International Symposium on Computational Intelligence and Design: October 17-18, 2008, Wuhan, China. IEEE Computer Society, 2008.

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International Symposium on Computational Intelligence and Design (2nd 2009 Changsha, China). Proceedings: 2009 International Symposium on Computational Intelligence and Design : Changsha, China, 12-14 December 2009. IEEE Computer Society, 2008.

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6

International Symposium on Computational Intelligence and Design (3rd 2010 Hangzhou, Zhejiang, China). Proceedings: 2010 International Symposium on Computational Intelligence and Design : ICSID 2010 : 29-31 October 2010, Hangzhou, Zhejiang, China. IEEE Computer Society, 2010.

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7

International Conference on Innovative Computing, Information and Control (1st 2006 Beijing, China). ICICIC 2006: First International Conference on Innovative Computing, Information and Control : 30 August-1 September, 2006, Beijing, China. Edited by Pan Jeng-Shyang, Shi Peng 1958-, Zhao Yao, and Institute of Electrical and Electronics Engineers. IEEE Computer Society, 2006.

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8

Topping, B. H. Developments in Neural Networks and Evolutionary Computing for Civil and Structural Engineering. Hyperion Books, 1995.

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9

Semi-Empirical Neural Network Modeling and Digital Twins Development. Elsevier, 2020. http://dx.doi.org/10.1016/c2017-0-02027-x.

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10

Software Development Outsourcing Decision Support Tool with Neural Network Learning. Storming Media, 2004.

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11

Marlow, Heather, ed. Evolutionary Development of Marine Larvae. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786962.003.0002.

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Access to a growing number of marine invertebrates with genetic and genomic tools has broadened our understanding of the diversity of developmental mechanisms, informing our understanding of larval evolution by allowing the identification of shared or divergent programs for the formation of body plan patterning and organ formation. Two such genetic programs are the apical plate patterning network and the hox/parahox trunk and gut patterning network common to larval and adult forms, respectively. While mounting evidence supports an ancient origin at the base of the Bilateria for both adult and

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12

Silaparasetty, Vinita. Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras. Apress, 2020.

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13

Computational Intelligence and Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine Techniques. Imperial College Press, 2012.

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14

Domhoff, G. William. The Emergence of Dreaming. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190673420.001.0001.

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This book presents a new neurocognitive theory of dreams that documents the similarities of dreaming to waking thought, demonstrates that personal psychological meaning can be found in a majority of dream reports, has a strong developmental dimension based on excellent longitudinal and cross-sectional studies carried out in sleep labs with children ages 3–15, locates the neural substrate for dreaming in the same brain network active during mind-wandering and daydreaming, and marshals the evidence that shows it is very unlikely that dreaming has any adaptive function. These claims are based on

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15

Mundy, Peter. A Neural Networks, Information-Processing Model of Joint Attention and Social-Cognitive Development. Edited by Philip David Zelazo. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199958474.013.0010.

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A neural networks approach to the development of joint attention can inform the study of the nature of human social cognition, learning, and symbolic thought process. Joint attention development involves increments in the capacity to engage in simultaneous or parallel processing of information about one’s own attention and the attention of other people. Infant practice with joint attention is both a consequence and an organizer of a distributed and integrated brain network involving frontal and parietal cortical systems. In this chapter I discuss two hypotheses that stem from this model. One i

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16

Panayiotou, Panayiotis Andrea. Immovable property taxation and the development of an artificial neural network valuation sysytem for residential properties for tax purposes in Cyprus. 1999.

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17

Tomanek, Robert J., Adriana A. Silva Pires-Gomes, and José Maria Pérez-Pomares. The development of coronary vascularization. Edited by José Maria Pérez-Pomares, Robert G. Kelly, Maurice van den Hoff, et al. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198757269.003.0021.

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The coronary vascular system is a complex network of arteries, veins, and capillaries that supports myocardial performance, a topic previously reviewed by other authors. Disruption of coronary blood vessel form and/or function can underlie severe congenital and acquired cardiovascular conditions, from myocardial infarction to sudden death. Coronary blood vessels are an evolutionary innovation of vertebrates and form from multiple cell sources. Accordingly, the developmental complexity of coronary vessel morphogenesis is likely to reflect evolutionary constraints, as well as to explain the orig

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18

(Editor), Javier Segovia, Piotr S. Szczepaniak (Editor), and Marian Niedzwiedzinski (Editor), eds. E-Commerce and Intelligent Methods. Physica-Verlag Heidelberg, 2002.

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19

1963-, Segovia Javier, Szczepaniak Piotr S. 1953, and Niedzwiedzinski Marian 1947-, eds. E-commerce and intelligent methods. Physica-Verlag, 2002.

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20

Raff, Lionel, Ranga Komanduri, Martin Hagan, and Satish Bukkapatnam. Neural Networks in Chemical Reaction Dynamics. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199765652.001.0001.

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This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (iii) parametrization of interatomic potential functions using a genetic algorithm accelerated with a NN; (iv) parametrization of analytic interatomic

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21

Mittelbach, Gary G., and Brian J. McGill. Community Ecology. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198835851.001.0001.

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Community Ecology provides a broad, up-to-date coverage of ecological concepts at the community level and is suitable for advanced undergraduates, graduate students, and ecological researchers. The field of community ecology has undergone a transformation in recent years, from a discipline largely focused on processes occurring within a local area to a discipline encompassing a much richer domain of study, including the linkages between communities separated in space (metacommunity dynamics), niche and neutral theory, the interplay between ecology and evolution (eco-evolutionary dynamics), and

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22

Unger, Herwig, and Wolfgang A. Halang, eds. Autonomous Systems 2016. VDI Verlag, 2016. http://dx.doi.org/10.51202/9783186848109.

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To meet the expectations raised by the terms Industrie 4.0, Industrial Internet and Internet of Things, real innovations are necessary, which can be brought about by information processing systems working autonomously. Owing to their growing complexity and their embedding in complex environments, their design becomes increasingly critical. Thus, the topics addressed in this book span from verification and validation of safety-related control software and suitable hardware designed for verifiability to be deployed in embedded systems over approaches to suppress electromagnetic interferences to

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23

Ahmari, Susanne E. Targeted Circuit Manipulations in the Modeling of OCD. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0034.

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Work in animal models has great potential to shed light on the neural circuit perturbations that lead to OCD-related behaviors. Circuit-specific manipulations allow testing of the causal role of the brain network abnormalities observed in clinical imaging studies, with a precision that is not possible in investigations in humans. In recent years, circuit-specific manipulations in animals using a range of technologies have confirmed that abnormalities in the cortico-striatal circuitry can produce repetitive behaviors, such as excessive grooming. This chapter summarizes these advances. Refining

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24

Russell, James A., and Jose Miguel Fernandez Dols, eds. The Science of Facial Expression. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.001.0001.

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Organized in eleven thematic sections, The Science of Facial Expression offers a broad perspective of the “geography” of the science of facial expression. It reviews the scientific history of emotion perception and the evolutionary origins and functions of facial expression. It includes an updated compilation on the great debate around Basic Emotion Theory versus Behavioral Ecology and Psychological constructionism. The developmental psychology and social psychology of facial expressions is explored in the role of facial expressions in child development, social interactions, and culture. The b

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25

Selverston, Allen. Rhythms and oscillations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0021.

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The study of identifiable neurons, a common feature of invertebrate nervous systems, has made it possible to construct a detailed cell-to-cell connectivity map using electrophysiological methods that can inspire the design of biomimetic systems. This chapter describes how the analysis of the neural circuitry in the lobster stomatogastric ganglion (STG) has provided some general principles underlying oscillatory and rhythmic behavior in all animals. The rhythmic and oscillatory patterns produced by the two STG central pattern generating (CPG) circuits are a result of two cooperative mechanisms,

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26

Fox, Raymond. The Use of Self. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780190616144.001.0001.

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This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (iii) parametrization of interatomic potential functions using a genetic algorithm accelerated with a NN; (iv) parametrization of analytic interatomic

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27

Butz, Martin V., and Esther F. Kutter. How the Mind Comes into Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.001.0001.

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For more than 2000 years Greek philosophers have thought about the puzzling introspectively assessed dichotomy between our physical bodies and our seemingly non-physical minds. How is it that we can think highly abstract thoughts, seemingly fully detached from actual, physical reality? Despite the obvious interactions between mind and body (we get tired, we are hungry, we stay up late despite being tired, etc.), until today it remains puzzling how our mind controls our body, and vice versa, how our body shapes our mind. Despite a big movement towards embodied cognitive science over the last 20

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28

Barwich, Ann-Sophie. Measuring the World. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198779636.003.0017.

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How much does stimulus input shape perception? The common-sense view is that our perceptions are representations of objects and their features and that the stimulus structures the perceptual object. The problem for this view concerns perceptual biases as responsible for distortions and the subjectivity of perceptual experience. These biases are increasingly studied as constitutive factors of brain processes in recent neuroscience. In neural network models the brain is said to cope with the plethora of sensory information by predicting stimulus regularities on the basis of previous experiences.

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29

Zamarian, L., and Margarete Delazer. Arithmetic Learning in Adults. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.007.

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Neuroimaging has significantly contributed to our understanding of human learning by tracking the neural correlates underlying the acquisition of new expertise. Studies using functional magnetic resonance imaging (fMRI) suggest that the acquisition of arithmetic competence is reflected in a decrease of activation in frontal brain regions and a relative increase of activation in parietal brain regions that are important for arithmetic processing. Activation of the angular gyrus (AG) is related to fact learning, skilled retrieval, and level of automatization. fMRI investigations extend the findi

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30

Ocampo, José Antonio. Resetting the International Monetary (Non)System. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198718116.001.0001.

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This book provides an analysis of the global monetary system and the necessary reforms that it should undergo to play an active role in the twenty-first century. As its title indicates, its basic diagnosis is that it is an ad hoc framework rather than a coherent system—a ‘non-system’—which evolved after the breakdown of the original Bretton Woods arrangement in the early 1970s. The book places a special focus on the asymmetries that emerging and developing countries face within the current system, and therefore on the development dimensions of the global monetary system and of global monetary

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