Above are papers related to the following paper: [Paper_ID] Paper #1114364. 	[Title] A Neural Network Model for the Gold Market [Abstract] A neural network trend predictor for the gold bullion market is presented. A simple recurrent neural network was trained to recognize turning points in the gold market based on a to-date history of ten market indices. The network was tested on data that was held back from training, and a significant amount of predictive power was observed. The turning point predictions can be used to time transactions in the gold bullion and gold mining company stock index markets to obtain a significant paper profit during the test period. The training data consisted of daily closing prices for the ten input markets for a period of about five years. The turning point targets were labeled for the training phase without the help of a financial expert. Thus, this experiment shows that useful predictions can be made without the use of more extensive market data or knowledge. Please summarise all the given information.

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Paper #1114364 has the title `A Neural Network Model for the Gold Market  
` and the abstract `A neural network trend predictor for the gold bullion market is presented. A simple recurrent neural network was trained to recognize turning points in the gold market based on a to-date history of ten market indices. The network was tested on data that was held back from training, and a significant amount of predictive power was observed. The turning point predictions can be used to time transactions in the gold bullion and gold mining company stock index markets to obtain a significant paper profit during the test period. The training data consisted of daily closing prices for the ten input markets for a period of about five years. The turning point targets were labeled for the training phase without the help of a financial expert. Thus, this experiment shows that useful predictions can be made without the use of more extensive market data or knowledge. 
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Question: Which category should Paper #1114364 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].


Paper #1114364 has the title `A Neural Network Model for the Gold Market  
` and the abstract `A neural network trend predictor for the gold bullion market is presented. A simple recurrent neural network was trained to recognize turning points in the gold market based on a to-date history of ten market indices. The network was tested on data that was held back from training, and a significant amount of predictive power was observed. The turning point predictions can be used to time transactions in the gold bullion and gold mining company stock index markets to obtain a significant paper profit during the test period. The training data consisted of daily closing prices for the ten input markets for a period of about five years. The turning point targets were labeled for the training phase without the help of a financial expert. Thus, this experiment shows that useful predictions can be made without the use of more extensive market data or knowledge. 
`.
Question: Which category should Paper #1114364 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].

This paper should be classified into: Neural_Networks