pravin kshirsagar (16 risultati)

Condizione: New.

Paperback. Condizione: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock.

Taschenbuch. Condizione: Neu. Biomedical Signal Processing : Soft Computing Techniques | Pravin R. Kshirsagar (u. a.) | Taschenbuch | 160 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786137340165 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Brain Tumor is one of the most harmful Neurological Disorder. This Neurological Disorder must have accurate detection and early particular treatment which helps to reduce its harmful effect on human body. Now a days the process or technique which is used for the diagnosis or detection of Brain Tumor is really a very time consuming process and there may be chances of human error. In order to reduce the time and human error Neural Network is used for detection and classification of Brain tumor. 104 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book proposes two novel algorithms for function classification and prediction that extends a three layered Feed Forward Neural Network (FFNN) and the standard Generalized Regression Neural Network (GRNN).In this book genetic algorithm(GA) is used inside the particle swarm optimization(PSO) algorithm to bring the worst particle in PSO search space nearer to the food. This helps in faster convergence of PSO algorithm and the possibility of the algorithm to get stuck at the local minima is eliminated.The detailed analysis of results and comparisons show that the proposed algorithms have effectively improved the performance of a neural network as a classifier and predictor and obtained the better accuracy with minimum mean square error than the non optimized neural networks. 160 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kshirsagar PravinPravin R. Kshirsagar is currently working as an Assistant Professor at S.B. Jain Institute of Technology, Management and Research, Nagpur, Maharashtra, India.Brain Tumor is one of the most harmful Neurological Di.

Condizione: New. PRINT ON DEMAND pp. 104.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: R. Kshirsagar PravinDr. Pravin R. Kshirsagar, Associate Professor, ETC Department,at GHRECM, Pune (M.S),India.Dr. Sudhir G. Akojwar, Associate Professor, Head, Department of Electronics and Telecommunication Engineering, at Governmen.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: A. Chavan SalimDr.Salim A. Chavan working as a professor, Principal of Waingainga college of engineering,Nagpur.Dr. Sudhir G. Akojwar working as an Associate professor, Head of ETC Department at Government college of Engineering,Chan.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chandraprakash D.1.Dr. D. Chandraprakash working as an Associate Professor in K.G Reddy College of Engineering and Technology, Hyderabad.2. Dr. Pravin Kshirsagar currently working as a Professor and Head ECE in K.G. Reddy College of .

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Brain Tumor is one of the most harmful Neurological Disorder. This Neurological Disorder must have accurate detection and early particular treatment which helps to reduce its harmful effect on human body. Now a days the process or technique which is used for the diagnosis or detection of Brain Tumor is really a very time consuming process and there may be chances of human error. In order to reduce the time and human error Neural Network is used for detection and classification of Brain tumor.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Brain Tumor is one of the most harmful Neurological Disorder. This Neurological Disorder must have accurate detection and early particular treatment which helps to reduce its harmful effect on human body. Now a days the process or technique which is used for the diagnosis or detection of Brain Tumor is really a very time consuming process and there may be chances of human error. In order to reduce the time and human error Neural Network is used for detection and classification of Brain tumor.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book proposes two novel algorithms for function classification and prediction that extends a three layered Feed Forward Neural Network (FFNN) and the standard Generalized Regression Neural Network (GRNN).In this book genetic algorithm(GA) is used inside the particle swarm optimization(PSO) algorithm to bring the worst particle in PSO search space nearer to the food. This helps in faster convergence of PSO algorithm and the possibility of the algorithm to get stuck at the local minima is eliminated.The detailed analysis of results and comparisons show that the proposed algorithms have effectively improved the performance of a neural network as a classifier and predictor and obtained the better accuracy with minimum mean square error than the non optimized neural networks.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book proposes two novel algorithms for function classification and prediction that extends a three layered Feed Forward Neural Network (FFNN) and the standard Generalized Regression Neural Network (GRNN).In this book genetic algorithm(GA) is used inside the particle swarm optimization(PSO) algorithm to bring the worst particle in PSO search space nearer to the food. This helps in faster convergence of PSO algorithm and the possibility of the algorithm to get stuck at the local minima is eliminated.The detailed analysis of results and comparisons show that the proposed algorithms have effectively improved the performance of a neural network as a classifier and predictor and obtained the better accuracy with minimum mean square error than the non optimized neural networks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch.