流式细胞术数据多变量分析的混合系统方法

[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1992-06-14 DOI:10.1109/CBMS.1992.244933

L. Fu, M. Yang, R. Braylan, N. Benson

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引用次数: 0

摘要

在处理大量流式细胞术数据时，开发了一种自适应数据分析方案。问题解决结构被配置为一个连接网络。信息以连接权重的形式编码。在学习方程的控制下，随着更多的数据被看到，结构通过调整权重而进化。嵌入在网络中的知识可以进一步以符号形式解码。结果报告从测量领域的抗原性的血液样本。该技术在自洽性和确定性方面得到了统计验证。

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A hybrid system approach to multivariate analysis of flow cytometry data

In dealing with massive flow cytometric data, an adaptive data analysis scheme has been developed. The problem solving structure is configured as a connectionist network. Information is encoded in the form of connection weights. The structure evolves as more data are seen by adjusting its weights, governed by a learning equation. The knowledge embedded in the network can be further decoded in symbolic form. The results are reported from the domain of measuring the antigenic properties of blood samples. The technique has been validated statistically with respect to its self-consistency and determinacy.<>

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[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems

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