Gill jasmeen (52 resultados)

Condición: New.

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

Taschenbuch. Condición: 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. Condición: New. Hybride neuronale Netze f�r die Wettervorhersage. Book.

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

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

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

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Taschenbuch. Condición: 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. …

Condición: New.

Condición: New.

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

Condición: 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. Condición: 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. …

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

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

Paperback. Condición: new. Paperback. Il tempo atmosferico gioca un ruolo significativo per la vita, i beni, l'agricoltura e l'industria. Le reti neurali sono in grado di prevedere il comportamento non lineare del tempo senza dover ricorrere a modelli fisici espliciti. Il metodo piu comune per addestrare le reti neurali e l'algoritmo di retropropagazione basato sul gradiente discendente. Tuttavia, l'algoritmo di retropropagazione presenta diversi svantaggi, come il problema dei minimi locali, la lentezza dell'addestramento e il problema di scalabilita. Per risolvere questi problemi, si ricorre quindi all'ibridazione con algoritmi genetici. La tecnica ibrida permette di apprendere in modo efficiente combinando i punti di forza dell'algoritmo genetico con quelli dell'algoritmo di retropropagazione. Le reti neurali ibride sono piu adatte se si considera solo il requisito della ricerca globale. Sono efficaci nella ricerca globale, cioe non in una sola direzione, e lavorano con una popolazione di punti invece che con un singolo punto. Inoltre, uniscono i vantaggi sia dell'algoritmo deterministico BP che dell'algoritmo di ottimizzazione stocastico GA. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. O clima desempenha um papel significativo na vida, nos bens, na agricultura e na industria. As redes neurais sao capazes de prever o comportamento nao linear do clima sem que a fisica seja explicitamente explorada. O metodo mais comum para treinar redes neurais e atraves do algoritmo de retropropagacao baseado no gradiente descendente. Mas o algoritmo de retropropagacao apresenta varias desvantagens, como o problema dos minimos locais, o treino lento e o problema de escalabilidade. Por isso, a forma de resolver estes problemas e atraves da hibridizacao com algoritmos geneticos. A tecnica hibrida consegue aprender de forma eficiente ao combinar os pontos fortes do algoritmo genetico com o algoritmo de retropropagacao. As redes neurais hibridas sao mais adequadas se considerarmos apenas a necessidade de uma pesquisa global. Sao boas na pesquisa global, ou seja, nao se limitam a uma unica direcao, e funcionam com uma populacao de pontos em vez de um unico ponto. Alem disso, combinam as vantagens tanto do algoritmo deterministico BP como do algoritmo de otimizacao estocastica GA. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…