-
3
-
-
0020118274
-
Neural network and physical systems with emergent collective computational abilities
-
Hopfield J.J. Neural network and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA. 79:1982;2445-2558.
-
(1982)
Proc. Natl. Acad. Sci. USA
, vol.79
, pp. 2445-2558
-
-
Hopfield, J.J.1
-
4
-
-
0004469897
-
Neurons with graded response have collective computational properties like those of two-state neurons
-
Hopfield J.J. Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Natl. Acad. Sci. USA. 81:1984;3088-3092.
-
(1984)
Proc. Natl. Acad. Sci. USA
, vol.81
, pp. 3088-3092
-
-
Hopfield, J.J.1
-
7
-
-
0020068152
-
Analysis of a simple self-organizing process
-
Kohonen T. Analysis of a simple self-organizing process. Biol. Cybern. 43:1982;59-62.
-
(1982)
Biol. Cybern.
, vol.43
, pp. 59-62
-
-
Kohonen, T.1
-
9
-
-
0001606285
-
Evaluation of molecular surface properties using a Kohonen neural network
-
J. Devillers. London: Academic Press
-
Anzali S., Garnickel G., Krug M., Sadowski J., Wagener M., Gasteiger J. Evaluation of molecular surface properties using a Kohonen neural network. Devillers J. Neural Networks in QSAR and Drug Design. 1996;Academic Press, London.
-
(1996)
Neural Networks in QSAR and Drug Design
-
-
Anzali, S.1
Garnickel, G.2
Krug, M.3
Sadowski, J.4
Wagener, M.5
Gasteiger, J.6
-
10
-
-
0013366703
-
3D Structural information: From property prediction to substructure recognition with neural networks
-
Doucet J.P., Panaye A. 3D Structural information: from property prediction to substructure recognition with neural networks. SAR QSAR Environ. Res. 8:1998;249-272.
-
(1998)
SAR QSAR Environ. Res.
, vol.8
, pp. 249-272
-
-
Doucet, J.P.1
Panaye, A.2
-
11
-
-
85008099082
-
Neural networks applied to pharmaceutical problems. I. Method and application to decision making
-
Aoyama T., Suzuki Y., Ichikawa H. Neural networks applied to pharmaceutical problems. I. Method and application to decision making. Chem. Pharm. Bull. 37:1989;2558-2560.
-
(1989)
Chem. Pharm. Bull.
, vol.37
, pp. 2558-2560
-
-
Aoyama, T.1
Suzuki, Y.2
Ichikawa, H.3
-
12
-
-
0025219602
-
Neural networks applied to structure-activity relationships
-
Aoyama T., Suzuki Y., Ichikawa H. Neural networks applied to structure-activity relationships. J. Med. Chem. 33:1990;905-908.
-
(1990)
J. Med. Chem.
, vol.33
, pp. 905-908
-
-
Aoyama, T.1
Suzuki, Y.2
Ichikawa, H.3
-
16
-
-
0001094265
-
The use of self-organizing neural networks in drug design
-
Anzali S., Gasteiger J., Holzgrabe U., Polanski J., Sadowski J., Techentrup A., Markus M. The use of self-organizing neural networks in drug design. 3D QSAR Drug Design. 2:1998;273-299.
-
(1998)
3D QSAR Drug Design
, vol.2
, pp. 273-299
-
-
Anzali, S.1
Gasteiger, J.2
Holzgrabe, U.3
Polanski, J.4
Sadowski, J.5
Techentrup, A.6
Markus, M.7
-
17
-
-
0031882297
-
Applications of soft computing in drug design
-
Maddalena D.J. Applications of soft computing in drug design. Exp. Opin. Ther. Pat. 8:1998;249-258.
-
(1998)
Exp. Opin. Ther. Pat.
, vol.8
, pp. 249-258
-
-
Maddalena, D.J.1
-
18
-
-
0032735695
-
Neural networks in drug discovery: Have they lived up to their promise?
-
Savid T., Livingstone D.J. Neural networks in drug discovery: have they lived up to their promise? Eur. J. Med. Chem. 34:1999;195-208.
-
(1999)
Eur. J. Med. Chem.
, vol.34
, pp. 195-208
-
-
Savid, T.1
Livingstone, D.J.2
-
19
-
-
0029910457
-
Application of artificial neural networks to clinical pharmacology
-
Brier M.E., Aronoff G.R. Application of artificial neural networks to clinical pharmacology. Int. J. Clin. Pharmacol. Ther. 34:1996;510-514.
-
(1996)
Int. J. Clin. Pharmacol. Ther.
, vol.34
, pp. 510-514
-
-
Brier, M.E.1
Aronoff, G.R.2
-
20
-
-
85031077970
-
Neural networks model and its application in clinical pharmacology
-
Chinese
-
Rui J., Ling S. Neural networks model and its application in clinical pharmacology. Zhongguo Linchuang Yaolixue Zazhi. 13:1997;170-176. Chinese.
-
(1997)
Zhongguo Linchuang Yaolixue Zazhi
, vol.13
, pp. 170-176
-
-
Rui, J.1
Ling, S.2
-
21
-
-
0032745223
-
Artificial neural networks in laboratory medicine and medical outcome prediction
-
Tafeit E., Reibnegger G. Artificial neural networks in laboratory medicine and medical outcome prediction. Clin. Chem. Lab. Med. 37:1999;845-853.
-
(1999)
Clin. Chem. Lab. Med.
, vol.37
, pp. 845-853
-
-
Tafeit, E.1
Reibnegger, G.2
-
22
-
-
0034213103
-
Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research
-
Agatonovic-Kustrin S., Beresford R. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. J. Pharm. Biomed. Anal. 22:2000;717-727.
-
(2000)
J. Pharm. Biomed. Anal.
, vol.22
, pp. 717-727
-
-
Agatonovic-Kustrin, S.1
Beresford, R.2
-
23
-
-
0043256468
-
Neural network models of protein domain evolution
-
Nagl S. Neural network models of protein domain evolution. Hyle. 6:2000;143-159.
-
(2000)
Hyle
, vol.6
, pp. 143-159
-
-
Nagl, S.1
-
25
-
-
0006233853
-
Artificial neural network method for quality estimation of traditional Chinese medicine
-
Chinese
-
Cai Y., Gong J., Cheng Z., Chen N. Artificial neural network method for quality estimation of traditional Chinese medicine. Zhongcaoyao. 25:1994;187-189. Chinese.
-
(1994)
Zhongcaoyao
, vol.25
, pp. 187-189
-
-
Cai, Y.1
Gong, J.2
Cheng, Z.3
Chen, N.4
-
26
-
-
0012492498
-
Application of artificial neural networks to the feature extraction in chemical pattern recognition of the traditional Chinese medicine
-
Chinese
-
Qiao Y.J., Wang X., Bi K.S., Luo X. Application of artificial neural networks to the feature extraction in chemical pattern recognition of the traditional Chinese medicine. Venenum bufonis, Yaoxue Xuebao. 30:1995;698-701. Chinese.
-
(1995)
Venenum bufonis, Yaoxue Xuebao
, vol.30
, pp. 698-701
-
-
Qiao, Y.J.1
Wang, X.2
Bi, K.S.3
Luo, X.4
-
27
-
-
9644272875
-
Identification of Chinese herbal medicine using artificial neural network in pyrolysis-gas chromatography
-
Chinese
-
Geng L., Luo A., Fu R., Li J. Identification of Chinese herbal medicine using artificial neural network in pyrolysis-gas chromatography. Fenxi Huaxue. 28:2000;549-553. Chinese.
-
(2000)
Fenxi Huaxue
, vol.28
, pp. 549-553
-
-
Geng, L.1
Luo, A.2
Fu, R.3
Li, J.4
-
28
-
-
0031392564
-
Basic concepts of artificial neural networks (ANN) modeling in the application to pharmaceutical development
-
Bourquin J., Schmidli H., van Hoogevest P., Leuenberger H. Basic concepts of artificial neural networks (ANN) modeling in the application to pharmaceutical development. Pharm. Dev. Technol. 2:1997;95-109.
-
(1997)
Pharm. Dev. Technol.
, vol.2
, pp. 95-109
-
-
Bourquin, J.1
Schmidli, H.2
Van Hoogevest, P.3
Leuenberger, H.4
-
29
-
-
0032913392
-
Artificial neural network as a novel method to optimize pharmaceutical formulations
-
Takayama K., Fujikawa M., Nagai T. Artificial neural network as a novel method to optimize pharmaceutical formulations. Pharm. Res. 16:1999;1-6.
-
(1999)
Pharm. Res.
, vol.16
, pp. 1-6
-
-
Takayama, K.1
Fujikawa, M.2
Nagai, T.3
-
30
-
-
0031840164
-
Artificial intelligence in pharmaceutical product formulation: Neural computing and emerging technologies
-
Rowe R.C., Roberts R.J. Artificial intelligence in pharmaceutical product formulation: neural computing and emerging technologies. Pharm. Sci. Technol. Today. 1:1998;200-205.
-
(1998)
Pharm. Sci. Technol. Today
, vol.1
, pp. 200-205
-
-
Rowe, R.C.1
Roberts, R.J.2
-
31
-
-
0041753425
-
Pharmacometrics. New region in pharmaceutical science
-
Takagi T. Pharmacometrics. New region in pharmaceutical science. Farumashia. 37:2001;695-699.
-
(2001)
Farumashia
, vol.37
, pp. 695-699
-
-
Takagi, T.1
-
32
-
-
51249194645
-
A logical calculus of the ideas imminent in nervous activity
-
McCulloch W.S., Pitts W. A logical calculus of the ideas imminent in nervous activity. Bull. Math. Biophys. 5:1943;115-133.
-
(1943)
Bull. Math. Biophys.
, vol.5
, pp. 115-133
-
-
McCulloch, W.S.1
Pitts, W.2
-
34
-
-
0025884827
-
Reconstruction of weight matrices in neural networks. A method of correlating output with inputs
-
Aoyama T., Ichikawa H. Reconstruction of weight matrices in neural networks. A method of correlating output with inputs. Chem. Pharm. Bull. 39:1991;1222-1228.
-
(1991)
Chem. Pharm. Bull.
, vol.39
, pp. 1222-1228
-
-
Aoyama, T.1
Ichikawa, H.2
-
35
-
-
0025029558
-
Neural networks as applied to quantitative structure-activity relationship analysis
-
Aoyama T., Suzuki Y., Ichikawa H. Neural networks as applied to quantitative structure-activity relationship analysis. J. Med. Chem. 33:1990;2583-2590.
-
(1990)
J. Med. Chem.
, vol.33
, pp. 2583-2590
-
-
Aoyama, T.1
Suzuki, Y.2
Ichikawa, H.3
-
37
-
-
0026065989
-
Basic operating characteristics of neural networks when applied to structure-activity studies
-
Aoyama T., Ichikawa H. Basic operating characteristics of neural networks when applied to structure-activity studies. Chem. Pharm. Bull. 39:1991;358-366.
-
(1991)
Chem. Pharm. Bull.
, vol.39
, pp. 358-366
-
-
Aoyama, T.1
Ichikawa, H.2
-
38
-
-
0017715181
-
Adaptive least-squares classification applied to structure-activity correlation al antitumor mitomycin derivatives
-
Moriguchi I., Komatsu K. Adaptive least-squares classification applied to structure-activity correlation al antitumor mitomycin derivatives. Chem. Pharm. Bull. 25:1977;2800-2802.
-
(1977)
Chem. Pharm. Bull.
, vol.25
, pp. 2800-2802
-
-
Moriguchi, I.1
Komatsu, K.2
-
39
-
-
0025971792
-
Obtaining the correlation indices between drug activity and structural parameters using a neural network
-
Aoyama T., Ichikawa H. Obtaining the correlation indices between drug activity and structural parameters using a neural network. Chem. Pharm. Bull. 39:1991;372-378.
-
(1991)
Chem. Pharm. Bull.
, vol.39
, pp. 372-378
-
-
Aoyama, T.1
Ichikawa, H.2
-
40
-
-
0043256467
-
Neural networks as nonlinear structure-activity relationship analyzers. Useful functions of the partial derivative method in multilayer neural networks
-
Aoyama T., Ichikawa H. Neural networks as nonlinear structure-activity relationship analyzers. Useful functions of the partial derivative method in multilayer neural networks. J. Chem. Inform., Conmut. Sci. 32:1992;492-500.
-
(1992)
J. Chem. Inform., Conmut. Sci.
, vol.32
, pp. 492-500
-
-
Aoyama, T.1
Ichikawa, H.2
-
41
-
-
0010908219
-
Chemometrics: Theory and Applications
-
Washington, DC: American Chemical Society
-
Kowalski B.R. Chemometrics: Theory and Applications. ACS Symposium Series. 53:1977;43 American Chemical Society, Washington, DC.
-
(1977)
ACS Symposium Series
, vol.53
, pp. 43
-
-
Kowalski, B.R.1
-
42
-
-
0027899799
-
How to see characteristics of structural parameters in QSAR analysis: Descriptor mapping using neural networks
-
Ichikawa H., Aoyama A. How to see characteristics of structural parameters in QSAR analysis: descriptor mapping using neural networks. SAR QSAR Envirn. Res. 1:1993;115-130.
-
(1993)
SAR QSAR Envirn. Res.
, vol.1
, pp. 115-130
-
-
Ichikawa, H.1
Aoyama, A.2
-
43
-
-
0026075594
-
Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors
-
Andrea T.A., Kalayeh H. Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors. J. Med. Chem. 34:1991;2824-2836.
-
(1991)
J. Med. Chem.
, vol.34
, pp. 2824-2836
-
-
Andrea, T.A.1
Kalayeh, H.2
-
44
-
-
0018692891
-
Quantitative structure-activity relationships in 2,5-bis(1-aziridinyl)-p-benzoquine derivatives against leukemia L-1210
-
Yoshimoto M., Miyazawa H., Nakao H., Shinkai K., Arakawa M. Quantitative structure-activity relationships in 2,5-bis(1-aziridinyl)-p-benzoquine derivatives against leukemia L-1210. J. Med. Chem. 22:1979;491-496.
-
(1979)
J. Med. Chem.
, vol.22
, pp. 491-496
-
-
Yoshimoto, M.1
Miyazawa, H.2
Nakao, H.3
Shinkai, K.4
Arakawa, M.5
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