Neural Computer Sciences

All artificial neural network (ANN) analyses were carried out with a user-friendly, neural network simulation program, NeuFrame version 1,1,0,0 (Neural Computer Sciences, Lulworth Business Centre, Nutwood Way, Totton, Southampton, Hants), which runs under Microsoft Windows NT on an IBM-compatible PC. In-depth descriptions of the modus operandi of this type of ANN analysis [80 81] in our hands [46-48 50 74 82-92] are given elsewhere. [Pg.65]

NeuRun for Applications Neural Computer Sciences Unit 3, Lulworth Business Centre, Nutwood Way Totton, Southampton, S04 2WW, U.K. [Pg.345]

Weka Machiiie Learning Software in Java) Department of Computer Science, University of Waikato http flw vw.cs.waikato.ac.nzf-mllwekafituiex.html > SNNS Stuttgart Neural Network Simulator) Wilhelm-Schickard-lnstitut fur Informatik, University of Tubingen hUp //wttW-ra.informatik.uni-tuehingen.de/... [Pg.483]

B. Carse and T.C. Fogarty, Fast evolutionary learning of minimal radial basis function neural networks using a genetic algorithm. Lecture Notes in Computer Science, 1143, (1996) 1-22. [Pg.698]

Cybenko, G., Continuous valued neural networks with two hidden layer are sufficient, Technical Report, Department of Computer Science, Tufts University (1988). [Pg.98]

Biocomputers. 2. Neural networks (computer science) 3. Information technology. [Pg.155]

Sumpter BG, Getino C, Noid DI (1994) Theory and applications of neural computing in chemical science. Annu Rev Phys Chem 45 439 81... [Pg.148]

Defense research is conducted in the following disciplines (approximate percentages of total funding are shown in parentheses) physics (9%), chemistry (9%), mathematics (7%), computer science (6%), electronics (13%), materials science (8%), mechanics (13%), terrestrial sciences (3%), ocean sciences (13%), atmospheric and space sciences (6.0%), biological sciences (9%), and cognitive and neural science (4%). [Pg.2887]

Bruneau, P. (2001) Search for predictive generic model of aqueous solubility using Bayesian neural nets. Journal of Chemical Information and Computer Sciences, 41, 1605-1616. [Pg.31]

Niwa, T. (2003) General regression and probabilistic neural networks to predict human intestinal absorption with topological descriptors derived from two-dimensional chemical structures. Journal of Chemical Information and Computer Sciences, 43, 113-119. [Pg.402]

Agrafiotis, D.K., Cedeno, W. and Lobanov, V.S. (2002) On the use of neural network ensembles in QSAR and QSPR. Journal of Chemical Information and Computer Sciences, 42, 903—911. [Pg.407]

James Slagle is a professor in the Department of Computer Science at the University of Minnesota. His research interests are in the areas of artificial neural networks, expert systems, and automated reasoning. He is a fellow of the American Association for the Advancement of Science, American Association for Artificial Intelligence, and the IEEE. [Pg.105]

B. G. Sumpter, C. Getino, and D. W. Noid, Annu. Rev. Rhys. Chem., 4S, 439 (1994). Theory and Applications of Neural Computing in Chemical Science. [Pg.129]

Computer science parallel processing Brain, neural networks... [Pg.171]

Departments of Computer Science and Computation and Neural Systems California Institute of Technology Pasadena, California... [Pg.105]

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