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Self-organizing neural network approach to the automatic layout of business process diagrams
Self-organizing neural network approach to the automatic layout of business process diagrams
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机译:自组织神经网络方法自动布置业务流程图
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摘要
A method, system, and/or computer program product generates self-organizing layouts of process diagrams. Initial weight vectors are distributed uniformly within boundaries of regions in the process diagram. A spatial input vector is randomly generated within the boundaries of each region. In each region in the process diagram, a closest graphical node is found, and a position of a winning graphical node that is the closest graphical node to the random input vector is adjusted. Positions of all non-immutable graphical objects, wi, in a topographical neighborhood N(k) of a closest graphical node wc that can cross a boundary of one or more regions from the multiple regions are adjusted. The spatial input vector is recursively generated, the closest graphical node is recursively located, and the positions of all non-immutable graphical objects, wi, in the topographical neighborhood N(k) are recursively adjusted until a maximum number of iterations, kmax is reached.
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机译:一种方法,系统和/或计算机程序产品生成流程图的自组织布局。初始权重向量在过程图中的区域边界内均匀分布。在每个区域的边界内随机生成空间输入向量。在流程图的每个区域中,找到最接近的图形节点,并调整与随机输入向量最接近的图形节点即获胜图形节点的位置。所有不可改变的图形对象w i Sub>在最近的图形节点w c Sub>的地形邻域N(k)中的位置,它们可以跨越一个或多个边界调整多个区域中的两个区域。递归地生成空间输入矢量,递归地定位最接近的图形节点,并递归地调整地形邻域N(k)中所有不可改变的图形对象w i Sub>的位置,直到a达到最大迭代次数k max Sub>。
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