Books on the topic 'Artificial Neural Network Training'

Kattan, Ali. Artificial neural network training and software implementation techniques. Hauppauge, N.Y: Nova Science Publishers, 2011.

Kattan, Ali. Artificial neural network training and software implementation techniques. Hauppauge, N.Y: Nova Science Publishers, 2011.

Kattan, Ali. Artificial neural network training and software implementation techniques. Hauppauge, N.Y: Nova Science Publishers, 2011.

Guan, Biing T. Modeling training site vegetation coverage probability with a random optimization procedure: An artificial neural network approach. [Champaign, IL]: US Army Corps of Engineers, Construction Engineering Research Laboratories, 1998.

N, Sundararajan, and Foo Shou King, eds. Parallel implementations of backpropagation neural networks on transputers: A study of training set parallelism. Singapore: World Scientific, 1996.

Shanmuganathan, Subana, and Sandhya Samarasinghe, eds. Artificial Neural Network Modelling. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28495-8.

S, Mohan. Artificial neural network modelling. Roorkee: Indian National Committee on Hydrology, 2007.

Gacon, David M. Speeding up neural network training. Manchester: UMIST, 1994.

Neural network models in artificial intelligence. New York: E. Horwood, 1990.

C, Jain L., and Johnson R. P, eds. Neural network training using genetic algorithms. Singapore: World Scientific, 1996.

Roberts, S. G. The evolution of artificial neural network structures. Manchester: UMIST, 1997.

Bisi, Manjubala, and Neeraj Kumar Goyal. Artificial Neural Network for Software Reliability Prediction. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119223931.

Rzempoluck, Edward J. Neural Network Data Analysis Using SimulnetTM. New York, NY: Springer New York, 1998.

North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Artificial neural network approaches in guidance and control. Neuilly sur Seine, France: AGARD, 1991.

Smith, Amelia. Predicting disease outcomes using an artificial neural network. Oxford: Oxford Brookes University, 2003.

Zeidenberg, Matthew. Neural network models in artificial intelligence and cognition. Chichester: Ellis Horwood, 1989.

Pomerleau, Dean A. Neural Network Perception for Mobile Robot Guidance. Boston, MA: Springer US, 1993.

L, Rogers James. Reducing neural network training time with parallel processing. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.

Hourihane, John Philip. Explorations of constructive approaches to Artificial Neural Network Design. Dublin: University College Dublin, 1997.

Delgado-Frias, José G. VLSI for Artificial Intelligence and Neural Networks. Boston, MA: Springer US, 1991.

Khataee, A. R. Artificial neural network modeling of water and wastewater treatment processes. Hauppauge, N.Y: Nova Science Publishers, 2010.

Artificial neural network modeling of water and wastewater treatment processes. Hauppauge, N.Y: Nova Science Publishers, 2010.

Neural network design and the complexity of learning. Cambridge, Mass: MIT Press, 1990.

Collins, Alan. Aircraft noise and residential property values: An artificial neural network approach. Portsmouth: University of Portsmouth, 1993.

DARPA Neural Network Study: October 1987-February 1988. Fairfax, Va., USA: AFCEA International Press, 1988.

Zeng, Zhigang. Advances in Neural Network Research and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.

Thrun, Sebastian. Explanation-Based Neural Network Learning: A Lifelong Learning Approach. Boston, MA: Springer US, 1996.

Thrun, Sebastian. Explanation-based neural network learning: A lifelong learning approach. Boston: Kluwer Academic Publishers, 1996.

Jepson, Barry. A procedure to determine the confidence limits for artificial neural network predictions. Portsmouth: University of Portsmouth, Dept. of Economics, 1993.

White, Roger. The artificial intelligence of urban dynamics: Neural network modelling of urban structure. [Toronto]: Centre for Urban and Community Studies, University of Toronto, 1989.

Daniel, Sarit. Wavelet based artificial neural network and entropy detection techniques for a chaosmaker. Ottawa: National Library of Canada, 2002.

Jorgensen, Charles C. Development of a sensor coordinated kinematic model for neural network controller training. [Moffett Field, Calif.?]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1990.

Zengrong, Peng, ed. Lei shen jing wang lu kong zhi xi tong: Artificial neural network control systems. Taibei Xian Zhonghe Shi: Xin wen jing kai fa chu ban gu fen you xian gong si, 2008.

Zengrong, Peng, ed. Lei shen jing wang lu kong zhi xi tong: Artificial neural network control systems. Taibei Xian Zhonghe Shi: Xin wen jing kai fa chu ban gu fen you xian gong si, 2008.

Mohan, Neeraj. Artificial neural network models for forecasting stock price index in Bombay Stock Exchange. Ahmedabad: Indian Institute of Management, 2005.

1931-, Taylor John Gerald, and Mannion C. L. T, eds. Theory and applications of neural networks: Proceedings of the First British Neural Network Society Meeting, London. London: Springer-Verlag, 1992.

Molina, Alfonso Hernán. Building up a neural network sociotechnical constituency: A contribution to the formulation of the UK strategy. Edinburgh: Research Centre for Social Sciences, University of Edinburgh, 1990.

Mira, Jos, and Juan V. Schez-Andr. Engineering Applications of Bio-Inspired Artificial Neural Networks: International Work-Conference on Artificial and Natural Neural Networks, IWANN'99 Alicante, Spain, June 24, 1999 Proceedings, Volume II. Berlin: Springer-Verlag, 1999.

Kennedy, R. Lee. A comparison of logistic regression and artificial neural network models for the early diagnosis of acute myocardialinfarction (AMI). Sheffield: University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1994.

Sahai, A. K. Reduction of AGCM systematic error by artificial neural network: A new approach for dynamical seasonal prediction of Indian summer monsoon rainfall. Pune: [Indian Institute of Tropical Meteorology], 2000.

Kempka, Anthony Aaron. A stochastic technique in constructive training of artificial neural networks. 1992.

Sadollah, Ali, and Carlos M. Travieso-Gonzalez, eds. Recent Trends in Artificial Neural Networks - from Training to Prediction. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.77409.

Samarasinghe, Sandhya, and Subana Shanmuganathan. Artificial Neural Network Modelling. Springer, 2016.

Samarasinghe, Sandhya, and Subana Shanmuganathan. Artificial Neural Network Modelling. Springer, 2018.

ELIV-MarketPlace 2018. VDI Verlag, 2018. http://dx.doi.org/10.51202/9783181023389.

Hinton, Geoffrey E. Neural network architectures for artificial intelligence (Tutorial). American Association for Artificial Intelligence, 1988.

Management Association, Information Resources, ed. Research Anthology on Artificial Neural Network Applications. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2408-7.

United States. National Aeronautics and Space Administration., ed. Object-oriented control system design using on-line training of artificial neural networks: Final report, grant no. NAG3-1661, December 01, 1996 - April 30, 1997 ... Howard University/NASA Lewis cooperative research studies. Washington, DC: Howard University, College of Engineering, Architecture and Computer Sciences, Electrical Engineering Dept., 1997.

United States. National Aeronautics and Space Administration., ed. Object-oriented control system design using on-line training of artificial neural networks: Final report, grant no. NAG3-1661, December 01, 1996 - April 30, 1997 ... Howard University/NASA Lewis cooperative research studies. Washington, DC: Howard University, College of Engineering, Architecture and Computer Sciences, Electrical Engineering Dept., 1997.

United States. National Aeronautics and Space Administration., ed. Object-oriented control system design using on-line training of artificial neural networks: Final report, grant no. NAG3-1661, December 01, 1996 - April 30, 1997 ... Howard University/NASA Lewis cooperative research studies. Washington, DC: Howard University, College of Engineering, Architecture and Computer Sciences, Electrical Engineering Dept., 1997.