The immune theory stimulated by biological immune system has been widely used in control, planning, image processing, data mining, fault detection and diagnosis and other areas.
受生物免疫系统启发的免疫原理已经在控制、规划、图像处理、数据挖掘、故障检测和诊断等领域得到了广泛应用。
In this paper, we study mainly the methods of Gene image analysis and data processing. It can extract the hybridizing intensity and obtain the useful biological information.
在本论文中，主要研究基因芯片图像的分析和数据处理，从而提取出基因芯片的杂交反应信号点的亮度信息，获得有用的生物信息。
As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.
作为仿生神经元数学模型，随机神经网络在联想记忆、图像处理、组合优化问题上都显示出较强的优势。
As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.
作为仿生神经元数学模型，随机神经网络在联想记忆、图像处理、组合优化问题上都显示出较强的优势。
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