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	Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Learning (I.2.6) > Connectionism And Neural Nets (I.2.6...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 187 Reviews about "Connectionism And Neural Nets (I.2.6...)": Date Reviewed   Process neural networks: theory and applications He X., Xu S.,  Springer Publishing Company, Incorporated, New York, NY, 2010. 240 pp. Type: Book This book was originally published in Chinese, and the English edition is in Springer’s “Advanced Topics in Science and Technology in China” series. As stated in the preface, the authors’ motive for writing this book was... May 14 2010   Computational intelligence for missing data imputation, estimation, and management: knowledge optimization techniques Marwala T.,  Information Science Reference - Imprint of: IGI Publishing, Hershey, PA, 2009. 326 pp. Type: Book Paradoxically, in these days of information glut, there is a concurrent problem of data loss--missing and incomplete data. Statisticians have generated a wealth of knowledge on the methods of handling missing data. While solving differential ... Jan 26 2010   Predictive mesoscale network model of cell fate decisions during C. elegans embryogenesis Winkler D., Burden F., Halley J.  Artificial Life 15(4): 411-421, 2009. Type: Article Winkler, Burden, and Halley’s recursive neural network--an extension of Geard and Wiles’ work [1]--models the differentiation pathway in the C. elegans worm. The neural network models stem cell data and predicts gene... Jan 15 2010   Using acceleration measurements for activity recognition: an effective learning algorithm for constructing neural classifiers Yang J., Wang J., Chen Y.  Pattern Recognition Letters 29(16): 2213-2220, 2008. Type: Article Thanks to the rapid adoption of smartphones and other advanced consumer electronics, the use of accelerometers has indeed accelerated in the last several years. At the cost of less than $1 US each, these sensors can enable a wide range of... Oct 23 2009   Committee machines for facial-gender recognition Raafat H., Tolba A., Shaddad E.  International Journal of Hybrid Intelligent Systems 6(1): 41-51, 2009. Type: Article Machine learning technologies inspired by neural networks are likely to be most useful when modeling difficult-to-code tasks, such as gender recognition based on facial images. This paper summarizes some recent experiments with one such... Oct 20 2009   Missing wind data forecasting with adaptive neuro-fuzzy inference system Hocaoglu F., Oysal Y., Kurban M.  Neural Computing and Applications 18(3): 207-212, 2009. Type: Article How do you predict missing y data values when the level of the y values fluctuates up and down within the data’s range? With ordinary least squares, you must add a term for each change in the slope of... Jun 17 2009   Associative learning on a continuum in evolved dynamical neural networks Izquierdo E., Harvey I., Beer R.  Adaptive Behavior 16(6): 361-384, 2008. Type: Article The primary goal of this well-written paper is to demonstrate that it is possible to model learning over a continuous range of inputs, using a continuous-time recurrent neural network (CTRNN) with fixed weights. “Learning” in this... May 15 2009   Knowledge processing with interval and soft computing Hu C. (ed), Kearfott R., Korvin A. (ed), Kreinovich V. (ed),  Springer Publishing Company, Incorporated, 2008. 233 pp. Type: Book Soft computing is a term that encompasses problems that are hard to characterize with solid, single numbers. It includes problems that can be described qualitatively--low, medium, or high--or that can use ranges of numbers, such as 3.5... Apr 30 2009   Implementation of a neural-based navigation approach on indoor and outdoor mobile robots Azouaoui O., Kadri M., Ouadah N.  CSTST 2008 (Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, Cergy-Pontoise, France,  Oct 28-31, 2008) 71-77, 2008. Type: Proceedings This paper addresses the problem of creating general navigation systems that would apply to different types of autonomous vehicles, including indoor and outdoor robots, with different physical dimensions and sensor characteristics. The authors... Jan 8 2009   Texture and shape information fusion for facial action unit recognition Kotsia I., Zafeiriou S., Nikolaidis N., Pitas I.  Advances in Computer-Human Interaction (Proceedings of the First International Conference on Advances in Computer-Human Interaction, Feb 10-15, 2008) 77-82, 2008. Type: Proceedings Facial expression analysis aims to identify facial appearance changes, as recorded in video sequences, and to subsequently classify them into six basic expressions: happiness, sadness, surprise, disgust, anger, and fear. Prior... Sep 17 2008       Display 510152550100 per page
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