Computer aided innovation of new materials II : proceedings of the second International Conference and Exhibition on Computer Applications to Materials and Molecular Science and Engineering--CAMSE '92, Pacifico Yokohama, Yokohama, Japan, September 22-25, 1992. Part 2 /

With advanced materials being in the midst of a widely acknowledged revolution, there is relentless pressure on scientists and engineers to be on the cutting edge of emerging theories and design methodologies. The 379 papers in this two part volume bring together the experience of specialists in the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores Corporativos: International Conference and Exhibition on Computer Applications to Materials and Molecular Science and Engineering Yokohama-shi, Japan, Nikkan K�ogy�o Shinbunsha, International Conference and Exhibition on Computer Applications to Materials and Molecular Science and Engineering (Organizing Committee.)
Otros Autores: D�oyama, Masao, 1927-
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Amsterdam : North-Holland, 1993.
Temas:
Materials science > Data processing > Congresses.
Materials science > Computer simulation > Congresses.
Science des mat�eriaux > Informatique > Congr�es.
Science des mat�eriaux > Simulation par ordinateur > Congr�es.
TECHNOLOGY & ENGINEERING > Engineering (General)
TECHNOLOGY & ENGINEERING > Reference.
Materials science > Computer simulation
Materials science > Data processing
Congress
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congr�es.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front cover; Computer Aided Innovation of New Materials II, Part 2; Copyright Page; Table of Contens; Part 2; Symposium H: CHEMOMETRICS ANDCHEMICAL PATTERN RECOGNITION; Chater 1. The UNIveral PArtial Least Squares, UNIPALS, algorithm for PartialLeast Squares, PLS, regression; 1. THE NIPALS ALGORITHM; 2. THE UNIPALS ALGORITHM; 3. ADVANTAGES OF UNIPALS; REFERENCES; Chapter 2. Analysis of structure-property relationships of light stabilizersusing pattern recognition methods; 1 . INTRODUCTION; 2 . EXPERIMENT AND METHODS; 3. RESULTS AND DISCUSSION; REFERENCES.
  • Chapter 6. Application of the new chemometric system SPECTRE to quantitative structure-activityrelationship (QSAR) in agricultural drug design. 1. QSAR IN FUNGICIDE DESIGN; 2. MODELING METHODOLOGY; 3. RESULTS AND DISCUSSION; ACKNOWLEDGEMENT; REFERENCES; Chapter 7. Partial least squares (PLS) analysis of C-13 chemical shiftdata; 1 . INTRODUCTION; 2. RESULTS; 3. DISCUSSION; REFERENCES; Chapter 8. Chemometrics as an aid in food research and development; 1. INHERENT COMPLEXITY OF FOOD; 2. INSTRUMENTAL ANALYSIS; 3. SUBJECTIVITYIN SENSORY EVALUATION; 4. OBJECTIVE EVALUATION OF FOODS.
  • 5. FLAVOR DISCRIMINATION BY GAS SENSOR ARRAY6. ARTIFICIAL NEURAL NETWORKS; 7. OPTIMIZATION; 8. CONCLUSION; REFERENCES; Chapter 9. Applicability of Neural Network to the Estimation of Acid Strength of Binary Mixed Oxides; 1. INTRODUCTION; 2. CHARACTERISTIC OF ACIDSTRENGTH DATA; 3. PRINCIPLE OF ESTIMATION; 4. EFFECT OF TRAINING ITERATIONS; 5. RELIABILITY OF ESTIMATION; 6. CONCLUDING REMARKS; REFERENCES; Chapter 10. The Effects of Molecular Width of Organic Solute on Membrane Permeability; 1. INTRODUCTION; 2. MOLECULAR WIDTH PARAMETERS; 3. THE EFFECTS OF MOLECULAR WIDTH ONMEMBRANE PERMEABILITY.

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