Books on the topic 'Supervised neural network'

J, Marks Robert, ed. Neural smithing: Supervised learning in feedforward artificial neural networks. Cambridge, Mass: The MIT Press, 1999.

Suresh, Sundaram, Narasimhan Sundararajan, and Ramasamy Savitha. Supervised Learning with Complex-valued Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29491-4.

Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24797-2.

Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Suresh, Sundaram. Supervised Learning with Complex-valued Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Surinder, Singh. Exploratory spatial data analysis using supervised neural networks. London: University of East London, 1994.

SFI/CNLS Workshop on Formal Approaches to Supervised Learning (1992 Santa Fe, N.M.). The mathematics of generalization: The proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning. Edited by Wolpert David H. Reading, Mass: Addison-Wesley Pub. Co., 1995.

Supervised and unsupervised pattern recognition: Feature extraction and computational intelligence. Boca Raton, Fla: CRC Press, 2000.

Leung, Wing Kai. The specification, analysis and metrics of supervised feedforward artificial neural networks for applied science and engineering applications. Birmingham: University of Central England in Birmingham, 2002.

Supervised Learning With Complexvalued Neural Networks. Springer, 2012.

Reed, Russell. Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks. A Bradford Book, 1999.

Reed, Russell, and Robert J. MarksII. Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks. MIT Press, 1999.

Sundararajan, Narasimhan, Sundaram Suresh, and Ramasamy Savitha. Supervised Learning with Complex-valued Neural Networks. Springer, 2012.

Supervised Sequence Labelling With Recurrent Neural Networks. Springer, 2012.

Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Springer, 2012.

Supervised Sequence Labelling with Recurrent Neural Networks. Springer Berlin / Heidelberg, 2014.

Sundararajan, Narasimhan, Sundaram Suresh, and Ramasamy Savitha. Supervised Learning with Complex-valued Neural Networks. Springer, 2014.

Lorentz, C. MACHINE LEARNING with NEURAL NETWORKS: SUPERVISED LEARNING. EXAMPLES with MATLAB. Independently Published, 2020.

Bateman, Blaine, Benjamin Johnston, Ishita Mathur, and Ashish Ranjan Jha. the Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition. Packt Publishing, Limited, 2020.

Lorentz, C. SUPERVISED LEARNING TECHNIQUES. TIME SERIES FORECASTING. EXAMPLES with NEURAL NETWORKS and MATLAB. Independently Published, 2020.

Masters, Timothy. Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks. Apress, 2018.

A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding. Providence, USA: Brown University, 2019.