由于动态神经网络结构及权值确定困难，采用二进制与实数编码相结合的联合编码，用遗传算法优化得到神经网络结构及对应权值。
To rise above the difficulty of determining NN's structure and weights, the GA optimization algorithm is used to get them by combining binary encoding with real encoding.
遗传算法中二进制编码通常用来解决最优解问题，引入了BCD编码来解决最优解问题。
Binary code usually deals with searching for optimization in Genetic Algorithms(GA). BCD code is used to solve optimization problem.
实验中同时对遗传算法中的二进制编码和实数编码两种编码方式的性能优缺点也进行了相应分析。
In the experiments, we also analyze the advantages and disadvantages of real coding and binary coding used by Genetic Algorithms.
对采用二进制编码和浮点数编码，遗传算法的执行效率进行了研究，并结合实例，说明浮点数编码在多参数寻优中具有很好的效率。
Research on the efficiency of binary encode and floating encode is demonstrated here. And by actual sample, the high efficiency of floating encode genetic algorithms is shown.
当遗传算法应用于高维反演问题时，这种编码方法不仅能将参数占用的内存减少到最低的限度，而且同常规的二进制编码法相比，还能几倍地减少参数译码的计算工作量。
Whenapplial to high-dimensional inverse problems, this coding method can not only reduce the memories occupied by parameters to the minimum, but also decrease the decoding work amount by a big margin.
对几种改进的遗传算法进行了比较、分析、综合后，提出了一种基于二进制编码的改进遗传算法。
To deal with the deficiency in symbol code and binary code in genetic neural network, a new hybrid code method is proposed on the basis of binary code.
对几种改进的遗传算法进行了比较、分析、综合后，提出了一种基于二进制编码的改进遗传算法。
To deal with the deficiency in symbol code and binary code in genetic neural network, a new hybrid code method is proposed on the basis of binary code.
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