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119, or equivalently that the price of a yen in relation to dollars is

119, or equivalently that the price of a yen in relation to dollars is $1/119.

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119, or equivalently that the price of a yen in relation to dollars is $1/119.

/119.

It is also regarded as the value of one country’s currency in relation to another currency.[1] For example, an interbank exchange rate of 119 Japanese yen (JPY, ? 119 will be exchanged for each US

It is also regarded as the value of one country’s currency in relation to another currency.[1] For example, an interbank exchange rate of 119 Japanese yen (JPY, ? 119 will be exchanged for each US$1 or that US$1 will be exchanged for each ? In this case it is said that the price of a dollar in relation to yen is ?

The authors suggest a new hybrid neural network which is a combination of the standard RBF neural network, a genetic algorithm, and a moving average.

The moving average is supposed to enhance the outputs of the network using the error part of the original neural network.

Forex markets are among the most active markets in the world in terms of dollar volume.

The participants include large banks, multinational corporations, governments, and speculators.

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It is also regarded as the value of one country’s currency in relation to another currency.[1] For example, an interbank exchange rate of 119 Japanese yen (JPY, ? 119 will be exchanged for each US$1 or that US$1 will be exchanged for each ? In this case it is said that the price of a dollar in relation to yen is ?The authors suggest a new hybrid neural network which is a combination of the standard RBF neural network, a genetic algorithm, and a moving average.The moving average is supposed to enhance the outputs of the network using the error part of the original neural network.Forex markets are among the most active markets in the world in terms of dollar volume.The participants include large banks, multinational corporations, governments, and speculators.

or that US

It is also regarded as the value of one country’s currency in relation to another currency.[1] For example, an interbank exchange rate of 119 Japanese yen (JPY, ? 119 will be exchanged for each US$1 or that US$1 will be exchanged for each ? In this case it is said that the price of a dollar in relation to yen is ?

The authors suggest a new hybrid neural network which is a combination of the standard RBF neural network, a genetic algorithm, and a moving average.

The moving average is supposed to enhance the outputs of the network using the error part of the original neural network.

Forex markets are among the most active markets in the world in terms of dollar volume.

The participants include large banks, multinational corporations, governments, and speculators.

||

It is also regarded as the value of one country’s currency in relation to another currency.[1] For example, an interbank exchange rate of 119 Japanese yen (JPY, ? 119 will be exchanged for each US$1 or that US$1 will be exchanged for each ? In this case it is said that the price of a dollar in relation to yen is ?The authors suggest a new hybrid neural network which is a combination of the standard RBF neural network, a genetic algorithm, and a moving average.The moving average is supposed to enhance the outputs of the network using the error part of the original neural network.Forex markets are among the most active markets in the world in terms of dollar volume.The participants include large banks, multinational corporations, governments, and speculators.

will be exchanged for each ? In this case it is said that the price of a dollar in relation to yen is ?The authors suggest a new hybrid neural network which is a combination of the standard RBF neural network, a genetic algorithm, and a moving average.The moving average is supposed to enhance the outputs of the network using the error part of the original neural network.Forex markets are among the most active markets in the world in terms of dollar volume.The participants include large banks, multinational corporations, governments, and speculators.

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