Geoscience Reference
In-Depth Information
Bryan, B.A. 2006. Synergistic techniques for better understanding and classifying the environmental structure
of landscapes.
Environmental Management
37, 1 (January): 126-140.
Carpenter, G.A. and S. Grossberg. 1987a. A massively parallel architecture for a self-organizing neural pattern
recognition machine.
Computer Vision, Graphics, and Image Processing
37, 1 (January): 54-115.
Carpenter, G.A. and S. Grossberg. 1987b. ART 2: Self-organization of stable category recognition codes for
analog input patterns.
Applied Optics
26, 23 (December 1): 4919-4930.
Carpenter, G.A., S. Grossberg, N. Markuzon, J.H. Reynolds, and D.B. Rosen. 1992. Fuzzy ARTMAP: A neu-
ral network architecture for incremental supervised learning of analog multidimensional maps.
IEEE
Transactions on Neural Networks
3, 5: 698-713.
Carpenter, G.A., S. Grossberg, and J.H. Reynolds. 1991. ARTMAP: Supervised real-time learning and clas-
sification of nonstationary data by a self-organizing neural network.
Neural Networks
4, 5: 565-588.
Chan, K.Y., T.S. Dillon, J. Singh, and E. Chang. 2012. Neural-network-based models for short-term traffic
flow forecasting using a hybrid exponential smoothing and algorithm.
IEEE Transactions on Intelligent
Transportation Systems
13, 2: 644-654.
Civco, D.L. 1993. Artificial neural networks for land-cover classification and mapping.
International Journal
of Geographical Information Systems
7, 2: 173-186.
Clothiaux, E.E. and C.M. Batchmann. 1994. Neural networks and their applications. In
Neural Nets:
Applications in Geography
, eds. B.C. Hewitson and R.G. Crane. Dordrecht, the Netherlands: Kluwer
Academic Publishers.
Favata, F. and R. Walker. 1991. A study of the application of Kohonen-type neural networks to the travelling
salesman problem.
Biological Cybernetics
64, 6 (April 1): 463-468.
Fischer, M.M. 1995. Fundamentals in neurocomputing. In
Recent Developments in Spatial Information
, eds.
M.M. Fischer, T.T. Sikos, and L. Bassa, pp. 31-41. Budapest, Hungary: Geomarket.
Fischer, M.M. 1998. Computational neural networks: A new paradigm for spatial analysis.
Environment and
Planning A
30, 10: 1873-1891.
Fischer, M.M. 2005. Spatial analysis: Retrospect and prospect. In
Geographic Information Systems: Principles,
Technical Issues, Management Issues and Applications
, eds. P.A. Longley, M.F. Goodchild, D.J. Maguire,
and D.W. Rhind. Hoboken, NJ: John Wiley & Sons.
Fischer, M.M. 2006. Neural networks: A general framework for non-linear function approximation.
Transactions
in GIS
10, 4: 521-533.
Fischer, M.M. 2013. Neural spatial interaction models. Network training, model complexity and general-
ization performance. In
Lecture Notes in Computer Science
, eds. B. Murgante, S. Misra, M. Carlini,
C.M. Torre, H.-Q. Nguyen, D. Tanier, B.O. Apduhan, and O. Gervasi, Vol. 7974, pp. 1-16. Heidelberg,
Germany: Springer.
Fischer, M.M. 2014. Neural networks. A class of flexible non-linear models for regression and classification.
In
Handbook of Research Methods and Applications in Economic Geography
, eds. C. Karlsson and
M. Andersson. Chelthenham, U.K.: Edward Elgar.
Fischer, M.M. and R.J. Abrahart. 2000. Neurocomputing-Tools for geographers. In
GeoComputation
, eds. Stan
Openshaw and R.J. Abrahart, pp. 192-221. London, U.K.: Taylor & Francis.
Fischer, M.M. and S. Gopal. 1994. Artificial neural networks. A new approach to modelling interregional
telecommunication flows.
Journal of Regional Science
34, 4: 503-527.
Fischer, M.M. and S. Gopal. 1996. Spectral pattern recognition and fuzzy ARTMAP: Design features, system
dynamics and real world simulations. In
Proceedings of EUFIT'96, Fourth European Congress on
Intelligent Technologies and Soft Computing
, pp. 1664-1668. Aachen, Germany: Elite Foundation.
Fischer, M.M., S. Gopal, P. Staufer, and K. Steinnocher. 1997. Evaluation of neural pattern classifiers for a
remote sensing application.
Geographical Systems
, 4, 2: 195-226.
Fischer, M.M. and A. Reggiani. 2004. Spatial interaction models: From the gravity to the neural network
approach. In
Contributions to Economic Analysis
, eds. R. Capello and P. Nijkamp, Vol. 266, pp. 317-346.
Urban Dynamics and Growth: Advances in Urban Economics. Amsterdam, the Netherlands: Elsevier.
http://www.sciencedirect.com/science/article/pii/S0573855504660111.
Fischer, M.M. and P. Staufer. 1999. Optimization in an error backpropagation neural network environment
with a performance test on a spectral pattern classification problem.
Geographical Analysis
31, 2:
89-108.
Foody, G.M. 1995. Land cover classification by an artificial neural network with ancillary information.
International Journal of Geographical Information Systems
9, 5: 527-542.
Gallant, S.I. 1993.
Neural Network Learning and Expert Systems
. Cambridge, MA: MIT Press.
Gholizadeh, M.H. and M. Darand. 2009. Forecasting precipitation with artificial neural networks (Case study:
Tehran).
Journal of Applied Sciences
9, 9 (September 1): 1786-1790.