Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chaturvedi Soni AditSoni Adit Chaturvedi is Ph.D[ Electronics Engineering] M.Tech (Electronics) and B.E.( E &C) Currently working as Associate Professor and Head in E &C Engg. Deptt., PIET,Nagpur. She has a total teaching experience . Codice articolo 289577047

Contatta il venditore

Compra nuovo

EUR 34,25

Convertire valuta

Spese di spedizione: EUR 9,70

Da: Germania a: Italia

Destinazione, tempi e costi

Quantit�: Pi� di 20 disponibili

Aggiungi al carrello

Immagini fornite dal venditore

Spiking Neural Network and Image Processing

Soni Adit Chaturvedi

Editore: LAP LAMBERT Academic Publishing Apr 2019, 2019

ISBN 10: 6200007845 ISBN 13: 9786200007841

Nuovo Taschenbuch

Print on Demand

Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania

Valutazione del venditore 5 su 5 stelle

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's world image recognition by the computer is the most concern issue. Recognition of handwriting has become very useful to make the machine learn to interact between human and computer . For pattern classification and recognition ,Neural Networks are the most powerful tools. This book depicts the strategies for hand written English characters (upper and lowercase) .We focus on classification and recognition based on Leaky-Integrate-and fire neuron model and Izhikevich neuron model which are Spiking Neural Network models.This book illustrates about the simulation of Leaky integrate and fire neuron model and Izhikevich neuron model ,and the results are compared in terms of accuracy, simulation time and firing rates for analysis with some further improvements.The successful simulation of few SNN models like LIF model and Izhikevich model for implementing an algorithm as a pattern classifier for English alphabet have been discussed . We report on advantages of SNN such as Mathematical model computation, High Accuracy, Low Power,Less Area, Useful for real time applications for further enhancement and improvement in terms of cost effectiveness. 76 pp. Englisch. Codice articolo 9786200007841

Contatta il venditore

Compra nuovo

EUR 39,90

Convertire valuta

Spese di spedizione: EUR 11,00

Da: Germania a: Italia

Destinazione, tempi e costi

Quantit�: 2 disponibili

Aggiungi al carrello

Immagini fornite dal venditore

Spiking Neural Network and Image Processing

Soni Adit Chaturvedi

Editore: LAP LAMBERT Academic Publishing, 2019

ISBN 10: 6200007845 ISBN 13: 9786200007841

Nuovo Taschenbuch

Print on Demand

Da: AHA-BUCH GmbH, Einbeck, Germania

Valutazione del venditore 5 su 5 stelle

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's world image recognition by the computer is the most concern issue. Recognition of handwriting has become very useful to make the machine learn to interact between human and computer . For pattern classification and recognition ,Neural Networks are the most powerful tools. This book depicts the strategies for hand written English characters (upper and lowercase) .We focus on classification and recognition based on Leaky-Integrate-and fire neuron model and Izhikevich neuron model which are Spiking Neural Network models.This book illustrates about the simulation of Leaky integrate and fire neuron model and Izhikevich neuron model ,and the results are compared in terms of accuracy, simulation time and firing rates for analysis with some further improvements.The successful simulation of few SNN models like LIF model and Izhikevich model for implementing an algorithm as a pattern classifier for English alphabet have been discussed . We report on advantages of SNN such as Mathematical model computation, High Accuracy, Low Power,Less Area, Useful for real time applications for further enhancement and improvement in terms of cost effectiveness. Codice articolo 9786200007841

Contatta il venditore