Books on the topic 'Neural Network Architecture (NNA)'
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Dayhoff, Judith E. Neural network architectures: An introduction. Van Nostrand Reinhold, 1990.
Find full textC, Jain L., and Johnson R. P, eds. Automatic generation of neural network architecture using evolutionary computation. World Scientific, 1997.
Find full textCios, Krzysztof J. Self-growing neural network architecture using crisp and fuzzy entropy. National Aeronautics and Space Administration, 1992.
Find full textCios, Krzysztof J. Self-growing neural network architecture using crisp and fuzzy entropy. National Aeronautics and Space Administration, 1992.
Find full textCios, Krzysztof J. Self-growing neural network architecture using crisp and fuzzy entropy. National Aeronautics and Space Administration, 1992.
Find full textCios, Krzysztof J. Self-growing neural network architecture using crisp and fuzzy entropy. National Aeronautics and Space Administration, 1992.
Find full textUnited States. National Aeronautics and Space Administration., ed. A neural network architecture for implementation of expert sytems for real time monitoring. University of Cincinnati, College of Engineering, 1991.
Find full textUnited States. National Aeronautics and Space Administration., ed. A novel approach to noise-filtering based on a gain-scheduling neural network architecture. National Aeronautics and Space Administration, 1994.
Find full textLim, Chee Peng. Probabilistic fuzzy ARTMAP: An autonomous neural network architecture for Bayesian probability estimation. University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1995.
Find full textLim, Chee Peng. A Multiple neural network architecture for sequential evidence aggregation and incomplete data classification. Univeristy of Sheffield, Dept. of Automatic Control and Systems Engineering, 1997.
Find full textkorkeakoulu, Teknillinen, ed. High-performance packet switching architecture for ATM: Conventional solution and neural network solution. Helsinki University of Technology, 1994.
Find full textYue, Jinshan. High Energy Efficiency Neural Network Processor with Combined Digital and Computing-in-Memory Architecture. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3477-1.
Full textSpiNNaker: A Spiking Neural Network Architecture. now publishers, Inc., 2020. http://dx.doi.org/10.1561/9781680836523.
Full textHinton, Geoffrey E. Neural network architectures for artificial intelligence (Tutorial). American Association for Artificial Intelligence, 1988.
Find full textHo, Ki-Cheong. Optimisation of neural network architecture for modelling and control. 1998.
Find full textAutomatic Generation of Neural Network Architecture Using Evolutionary Computation. World Scientific Publishing Co Pte Ltd, 1997.
Find full textJain, L. C. Automatic Generation of Neural Network Architecture Using Evolutionary Computation. World Scientific Publishing Co Pte Ltd, 1997.
Find full textKane, Andrew J. An instruction systolic array architecture for multiple neural network types. 1998.
Find full textA novel approach to noise-filtering based on a gain-scheduling neural network architecture. National Aeronautics and Space Administration, 1994.
Find full textParallel Implementation of an Artificial Neural Network Integrated Feature and Architecture Selection Algorithm. Storming Media, 1998.
Find full textYue, Jinshan. High Energy Efficiency Neural Network Processor with Combined Digital and Computing-In-Memory Architecture. Springer, 2024.
Find full textMitchell, Laura, Vishnu Subramanian, and Sri Yogesh K. Deep Learning with Pytorch 1. x: Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition. Packt Publishing, Limited, 2019.
Find full textFletcher, Justin Barrows Swore. A constructive approach to hybrid architectures for machine learning. 1994.
Find full textSangeetha, V., and S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.
Full textThagard, Paul. Brain-Mind. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190678715.001.0001.
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