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In the paper the method of creating investment strategies for a profitable trading system is described. This method is based on artificial intelligence techniques and technical analysis tools. Created strategies describe the investment signal and amount of cash or stocks, which should be used at a given moment. The carried out experiments allow to find values of parameters for generating investment...
This paper presents an experiment of using neuronal networks as a pulse shape generator for CP-OFDM. A set of pulse shapes were generated using genetic algorithm that minimizes the mean square error of the timing offset estimator. These pulse shapes were used to train function approximation neural networks. Such neural networks make the use of adaptive pulse shaping in OFDM systems feasible. Results...
Since the Neural Network (NN) with a Genetic Algorithm (GA) as a complement; are good optimization tools, we compare its performance with the Response Surface Methodology (RSM) that is generally used in the optimization of the process, in this case welding process. For the data used in the comparison, the results show that NN plus GA and RSM have a good results and very well performance, for identify...
Most of the artificial neural networks (ANN) based applications are implemented on FPGAs using fixed-point arithmetic. The problem is to achieve a balance between the need for numeric precision, which is important for network accuracy, and the cost of logic areas, i.e. FPGA resources. In this paper we propose a genetic algorithm based methodology permitting the optimization of the FPGA resources needed...
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