9786200655820 - Soft Computing based Powder Metallurgy: Soft Computing tools for predicting the characteristics of composite materials in P/M Lab di Radha, P.; Chandrasekaran, G.; ... (5 risultati)

Taschenbuch. Condizione: Neu. Soft Computing based Powder Metallurgy | Soft Computing tools for predicting the characteristics of composite materials in P/M Lab | P. Radha (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200655820 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Soft-computing plays an important role in various critical stages of material science.The Mathematical models constructed based on soft-computing approach will avoid more experimentation cost and human energy in the Industries. Each tool has more contribution for the growth of material science. The Neural Network aids the knowledge mining in predicting and classifying the properties of various parameters in the manufacturing section of Powder Metallurgy Lab. The Fuzzy Logic helps in fixing the range of input parameters of metal powders for classifying the properties of composite preforms. The genetic algorithm is applied to select the relevant parameters while designing the metal components. Various case studies related to the soft-computing based material analysis are included in this book to get more exposure for the learners. This book is a multi-disciplinary approach covering both computer science and mechanical fields. The faculty & students of academic Institutions and Engineers, Administrators, Lab technicians of Research Lab are able to get more benefit using this book. 52 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Radha P.Dr.P.Radha Prof./MCA, Dr.G.Chandrasekaran Sr.Prof.&Director/MCA& Dr.N.Selvakumar Sr.Prof./Mechanical Engg. are working in Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India with rich experience in teaching and res.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Soft-computing plays an important role in various critical stages of material science.The Mathematical models constructed based on soft-computing approach will avoid more experimentation cost and human energy in the Industries. Each tool has more contribution for the growth of material science. The Neural Network aids the knowledge mining in predicting and classifying the properties of various parameters in the manufacturing section of Powder Metallurgy Lab. The Fuzzy Logic helps in fixing the range of input parameters of metal powders for classifying the properties of composite preforms. The genetic algorithm is applied to select the relevant parameters while designing the metal components. Various case studies related to the soft-computing based material analysis are included in this book to get more exposure for the learners. This book is a multi-disciplinary approach covering both computer science and mechanical fields. The faculty & students of academic Institutions and Engineers, Administrators, Lab technicians of Research Lab are able to get more benefit using this book.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Soft-computing plays an important role in various critical stages of material science.The Mathematical models constructed based on soft-computing approach will avoid more experimentation cost and human energy in the Industries. Each tool has more contribution for the growth of material science. The Neural Network aids the knowledge mining in predicting and classifying the properties of various parameters in the manufacturing section of Powder Metallurgy Lab. The Fuzzy Logic helps in fixing the range of input parameters of metal powders for classifying the properties of composite preforms. The genetic algorithm is applied to select the relevant parameters while designing the metal components. Various case studies related to the soft-computing based material analysis are included in this book to get more exposure for the learners. This book is a multi-disciplinary approach covering both computer science and mechanical fields. The faculty & students of academic Institutions and Engineers, Administrators, Lab technicians of Research Lab are able to get more benefit using this book.