Gill jasmeen (58 risultati)

Condizione: New.

Paperback or Softback. Condizione: New. Redes neurais h�bridas para previs�o meteorol�gica. Book.

Taschenbuch. Condizione: Neu. Hybrid Neural Networks for Weather Forecasting | An Integrated Approach to Forecasting | Jasmeen Gill (u. a.) | Taschenbuch | 80 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659786600 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Paperback or Softback. Condizione: New. Hybride neuronale Netze f�r die Wettervorhersage. Book.

Paperback or Softback. Condizione: New. Reti neurali ibride per le previsioni meteorologiche. Book.

Paperback or Softback. Condizione: New. Hybrydowe sieci neuronowe do prognozowania pogody. Book.

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

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Réseaux neuronaux hybrides pour les prévisions météorologiques | Une approche intégrée de la prévision | Jasmeen Gill (u. a.) | Taschenbuch | Französisch | 2026 | Editions Notre Savoir | EAN 9786209949258 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Reti neurali ibride per le previsioni meteorologiche | Un approccio integrato alla previsione | Jasmeen Gill (u. a.) | Taschenbuch | Italienisch | 2026 | Edizioni Sapienza | EAN 9786209939013 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Redes neurais híbridas para previsão meteorológica | Uma abordagem integrada à previsão | Jasmeen Gill (u. a.) | Taschenbuch | Portugiesisch | 2026 | Edições Nosso Conhecimento | EAN 9786209954375 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. Hybrydowe sieci neuronowe do prognozowania pogody | Zintegrowane podej¿cie do prognozowania | Jasmeen Gill (u. a.) | Taschenbuch | Polnisch | 2026 | Wydawnictwo Nasza Wiedza | EAN 9786209951817 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Hybride neuronale Netze für die Wettervorhersage | Ein integrierter Ansatz für die Prognose | Jasmeen Gill (u. a.) | Taschenbuch | 72 S. | Deutsch | 2026 | Verlag Unser Wissen | EAN 9786209946691 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Weather plays a significant role in terms of life, property, agriculture and industry. Neural networks are capable of predicting the non-linear behavior of weather without the physics being explicitly explored. The most common method to train neural networks is through gradient decent based back propagation algorithm. But back propagation algorithm suffers from several disadvantages like local minima problem, slow training, and scaling problem. So the ways to solve these problems by hybridizing it with genetic algorithms. The hybrid technique can learn efficiently by combining the strengths of genetic algorithm with back propagation algorithm . The hybrid neural networks are more qualified if only the requirement of a global searching is considered. It is good at global search i.e. not in one direction and it works with a population of points instead of a single point. Also it blends the merits of both deterministic algorithm BP and stochastic optimizing algorithm GA. 80 pp. Englisch.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gill JasmeenJasmeen Gill is working as Assistant Professor in CSE department , RIMT-IET,Punjab,India.She has more than 10 years of teaching experience and more than 20 research articles to her credit. Shaminder Singh is working as As.…

Paperback. Condizione: new. Paperback. La meteo joue un role important dans la vie quotidienne, l'immobilier, l'agriculture et l'industrie. Les reseaux neuronaux sont capables de predire le comportement non lineaire de la meteo sans qu'il soit necessaire d'explorer explicitement les lois physiques. La methode la plus courante pour entrainer les reseaux neuronaux consiste a utiliser l'algorithme de retropropagation base sur la descente du gradient. Mais cet algorithme presente plusieurs inconvenients, comme le probleme des minima locaux, la lenteur de l'entrainement et les problemes d'evolutivite. On peut donc resoudre ces problemes en l'hybridant avec des algorithmes genetiques. La technique hybride permet un apprentissage efficace en combinant les atouts de l'algorithme genetique et de l'algorithme de retropropagation. Les reseaux neuronaux hybrides sont plus adaptes si l'on considere uniquement l'exigence d'une recherche globale. Ils sont performants en recherche globale, c'est-a-dire qu'ils ne se limitent pas a une seule direction et qu'ils travaillent avec une population de points plutot qu'avec un seul point. De plus, ils combinent les avantages de l'algorithme deterministe BP et de l'algorithme d'optimisation stochastique GA. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Spanisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Weather plays a significant role in terms of life, property, agriculture and industry. Neural networks are capable of predicting the non-linear behavior of weather without the physics being explicitly explored. The most common method to train neural networks is through gradient decent based back propagation algorithm. But back propagation algorithm suffers from several disadvantages like local minima problem, slow training, and scaling problem. So the ways to solve these problems by hybridizing it with genetic algorithms. The hybrid technique can learn efficiently by combining the strengths of genetic algorithm with back propagation algorithm . The hybrid neural networks are more qualified if only the requirement of a global searching is considered. It is good at global search i.e. not in one direction and it works with a population of points instead of a single point. Also it blends the merits of both deterministic algorithm BP and stochastic optimizing algorithm GA.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Französisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - El clima juega un papel importante en lo que respecta a la vida, los bienes, la agricultura y la industria. Las redes neuronales son capaces de predecir el comportamiento no lineal del clima sin necesidad de analizar explícitamente los aspectos físicos. El método más común para entrenar redes neuronales es mediante el algoritmo de retropropagación basado en el descenso del gradiente. Sin embargo, el algoritmo de retropropagación adolece de varias desventajas, como el problema de los mínimos locales, la lentitud del entrenamiento y el problema de escalabilidad. Por eso, una forma de resolver estos problemas es combinarlo con algoritmos genéticos. La técnica híbrida puede aprender de forma eficiente combinando las ventajas del algoritmo genético con el algoritmo de retropropagación. Las redes neuronales híbridas son más adecuadas si solo se tiene en cuenta el requisito de una búsqueda global. Son buenas en la búsqueda global, es decir, no en una sola dirección, y funcionan con una población de puntos en lugar de un único punto. Además, combinan las ventajas tanto del algoritmo determinista BP como del algoritmo de optimización estocástico GA.…