neural network pattern recognition de mukherjee ayan (9 resultados)

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Taschenbuch. Condición: Neu. Neuware -As famously quoted by Margaret Heffernan: - ¿A great deal of creativity is about pattern recognition, and what you need to discern patterns is tons of data. Your mind collects that data by taking note of random details and anomalies easily seen every day: quirks and changes that, eventually, add up to insights.¿ Pattern recognition helps us to identify almost everything in day-to-day life. Not only it¿s a natural phenomenon for living beings but also an important aspect for Artificial Intelligence. It is the key for development in every field like Medical Diagnosis (ECG), Technology (Face Recognition, Fingerprint Recognition, Retina Scan), Defense (Automated Target recognition like Laser Guided Bombs and Image Segmentation and analysis from Aerial Snapshots) etc. There are various methodologies in Pattern Recognition like Template Matching, Statistical Approach etc. but it is said natural process can be best achieved by imitating nature. Is it Is Neural Network better than other approaches VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.

Taschenbuch. Condición: Neu. Neural Network for Pattern Recognition | Ayan Mukherjee | Taschenbuch | 52 S. | Englisch | 2018 | Scholars' Press | EAN 9786202311786 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 52 | Sprache: Englisch | Produktart: Bücher.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As famously quoted by Margaret Heffernan: - 'A great deal of creativity is about pattern recognition, and what you need to discern patterns is tons of data. Your mind collects that data by taking note of random details and anomalies easily seen every day: quirks and changes that, eventually, add up to insights.' Pattern recognition helps us to identify almost everything in day-to-day life. Not only it's a natural phenomenon for living beings but also an important aspect for Artificial Intelligence. It is the key for development in every field like Medical Diagnosis (ECG), Technology (Face Recognition, Fingerprint Recognition, Retina Scan), Defense (Automated Target recognition like Laser Guided Bombs and Image Segmentation and analysis from Aerial Snapshots) etc. There are various methodologies in Pattern Recognition like Template Matching, Statistical Approach etc. but it is said natural process can be best achieved by imitating nature. Is it Is Neural Network better than other approaches 52 pp. Englisch.

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mukherjee AyanAyan Mukherjee is Research Scholar and a Product Specialist in an IT Company with work experience in fields like Computer-User Interaction Automation, AI and UML Based PEGA and Pattern Based Clustering. He also has expe.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As famously quoted by Margaret Heffernan: - 'A great deal of creativity is about pattern recognition, and what you need to discern patterns is tons of data. Your mind collects that data by taking note of random details and anomalies easily seen every day: quirks and changes that, eventually, add up to insights.' Pattern recognition helps us to identify almost everything in day-to-day life. Not only it's a natural phenomenon for living beings but also an important aspect for Artificial Intelligence. It is the key for development in every field like Medical Diagnosis (ECG), Technology (Face Recognition, Fingerprint Recognition, Retina Scan), Defense (Automated Target recognition like Laser Guided Bombs and Image Segmentation and analysis from Aerial Snapshots) etc. There are various methodologies in Pattern Recognition like Template Matching, Statistical Approach etc. but it is said natural process can be best achieved by imitating nature. Is it Is Neural Network better than other approaches.