Learning vector quantization (LVQ): four-vectors assigned to two classes. In this, two reference vectors will be used. The following input vectors represent two classes, 1 and 2: VECTOR1 (1, 0, 0, 0), CLASS1, VECTOR2 (0, 1, 1, 0), CLASS2, VECTOR3 (0, 0, 1, 1), CLASS2, & VECTOR4 (1, l,0, 0), CLASS1. The first two vectors will be used to initialize the two reference vectors. Thus, the first output unit represents class1, the second class2 (symbolically, = 1 and = 2). This leaves vectors (0, 0, 1, 1) & (1, l,0, 0) as the training vectors. Initialize the learning rate: a = 0.1. Find new weights W2=?, & W1=?

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design model: consists of design geometry; can be 2d or 3d; typically has a black background.

design files: drawing created with microsoft expression design, a drawing and design program for windows; may contain both vector and raster graphics; can also include multiple layers and various image effects.

elements: an element is a single part of a larger group.

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