Neural networks: A new method for solving chemical problems or just a passing phase?

[1]  Dennis Sanger,et al.  Contribution analysis: a technique for assigning responsibilities to hidden units in connectionist networks , 1991 .

[2]  S P Levine,et al.  Spectral peak verification and recognition using a multilayered neural network. , 1990, Analytical chemistry.

[3]  Tasuku Akagi,et al.  Determination of trace lanthanides and yttrium in seawater by inductively coupled plasma mass spectrometry after preconcentration with solvent extraction and back-extraction , 1990 .

[4]  Gerald M. Maggiora,et al.  Applications of neural networks in chemistry. 1. Prediction of electrophilic aromatic substitution reactions , 1990, J. Chem. Inf. Comput. Sci..

[5]  H Ichikawa,et al.  Neural networks applied to quantitative structure-activity relationship analysis. , 1990, Journal of medicinal chemistry.

[6]  P. Gemperline,et al.  Spectroscopic calibration and quantitation using artificial neural networks , 1990 .

[7]  S. Knudsen,et al.  Neural network detects errors in the assignment of mRNA splice sites. , 1990, Nucleic acids research.

[8]  R Langridge,et al.  Improvements in protein secondary structure prediction by an enhanced neural network. , 1990, Journal of molecular biology.

[9]  J. Ho,et al.  Neural network recognition and classification of aerosol particle distributions measured with a two-spot laser velocimeter. , 1990, Applied optics.

[10]  Ramaswamy Vaidyanathan,et al.  Process fault detection and diagnosis using neural networks , 1990 .

[11]  Lyle H. Ungar,et al.  Adaptive networks for fault diagnosis and process control , 1990 .

[12]  Morton E. Munk,et al.  A neural network approach to infrared spectrum interpretation , 1990 .

[13]  Peterson.  Classification of Cm I energy levels using counterpropagation neural networks. , 1990, Physical review. A, Atomic, molecular, and optical physics.

[14]  Mark A. Kramer,et al.  Improvement of the backpropagation algorithm for training neural networks , 1990 .

[15]  H Ichikawa,et al.  Neural networks applied to structure-activity relationships. , 1990, Journal of medicinal chemistry.

[16]  Benny Lautrup,et al.  A novel approach to prediction of the 3‐dimensional structures of protein backbones by neural networks , 1990, NIPS.

[17]  Venkat Venkatasubramanian,et al.  A neural network methodology for process fault diagnosis , 1989 .

[18]  Masahiro Abe,et al.  Incipient fault diagnosis of chemical processes via artificial neural networks , 1989 .

[19]  J. U. Thomsen,et al.  Pattern recognition of the 1H NMR spectra of sugar alditols using a neural network , 1989 .

[20]  Dean A. Pomerleau,et al.  What's hidden in the hidden layers? , 1989 .

[21]  Thomas J. Mc Avoy,et al.  Use of Neural Nets For Dynamic Modeling and Control of Chemical Process Systems , 1989, 1989 American Control Conference.

[22]  S. Brunak,et al.  Protein secondary structure and homology by neural networks The α‐helices in rhodopsin , 1988 .

[23]  T. Sejnowski,et al.  Predicting the secondary structure of globular proteins using neural network models. , 1988, Journal of molecular biology.

[24]  BART KOSKO,et al.  Bidirectional associative memories , 1988, IEEE Trans. Syst. Man Cybern..

[25]  E. Gardner,et al.  Maximum Storage Capacity in Neural Networks , 1987 .

[26]  R. Lippmann,et al.  An introduction to computing with neural nets , 1987, IEEE ASSP Magazine.

[27]  J. Zupan,et al.  Feedback search of hierarchical trees. , 1986, Analytical chemistry.

[28]  Geoffrey E. Hinton,et al.  Distributed Representations , 1986, The Philosophy of Artificial Intelligence.

[29]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[30]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[31]  Carlos E. Garcia,et al.  Internal model control. A unifying review and some new results , 1982 .

[32]  P. Y. Chou,et al.  Conformational parameters for amino acids in helical, beta-sheet, and random coil regions calculated from proteins. , 1974, Biochemistry.

[33]  Teuvo Kohonen,et al.  Correlation Matrix Memories , 1972, IEEE Transactions on Computers.

[34]  H. Lohninger,et al.  Classification of Mass Spectral Data Using Neural Networks , 1991 .

[35]  M. Munk,et al.  Neural network models for infrared spectrum interpretation , 1991 .

[36]  Hans Lohninger,et al.  3 Principal Component Analysis of Chemical Data , 1990 .

[37]  David E. Rumelhart,et al.  Predicting the Future: a Connectionist Approach , 1990, Int. J. Neural Syst..

[38]  J. Župan.  Can an instrument learn from experiments done by itself , 1990 .

[39]  Gerald M. Maggiora,et al.  Applications for neural networks in chemistry. 2. A general connectivity representation for the prediction of regiochemistry , 1990 .

[40]  Josiah C. Hoskins,et al.  Artificial neural network models for knowledge representation in chemical engineering , 1990 .

[41]  David E. Rumelhart,et al.  MSnet: A Neural Network which Classifies Mass Spectra , 1990 .

[42]  Matthias Otto,et al.  Application of Fuzzy Neural Network to Spectrum Identification , 1990 .

[43]  A. Bos,et al.  Processing of signals from an ion-elective electrode array by a neural network , 1990 .

[44]  P. Bhagat,et al.  An introduction to neural nets , 1990 .

[45]  Massimo A. Sivilotti,et al.  Real-time visual computations using analog CMOS processing arrays , 1987 .

[46]  T. Kohonen.  Self-organized formation of topographically correct feature maps , 1982 .

[47]  I. Moriguchi,et al.  Adaptive least-squares method applied to structure--activity correlation of hypotensive N-alkyl-N''-cyano-N'-pyridylguanidines. , 1980, Journal of medicinal chemistry.

[48]  C. M. Reeves,et al.  Function minimization by conjugate gradients , 1964, Comput. J..

[49]  W. Pitts,et al.  How we know universals; the perception of auditory and visual forms. , 1947, The Bulletin of mathematical biophysics.