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The ICs for weights in the matrix display a behavior that does not appear to be described in the literature. This behavior consists of redescending to a constant value, but not to zero, in directions perpendicular to the decision boundary. We have coined the name for this behavior. This behavior means that the MLP estimator does not have a finite rejection point, so that points arbitrarily far from the decision boundary may still exert some appreciable influence. The implications of this for the resistance of the MLP model is still an open question.

the same as for small molecules such as cis- and trans-2-butenes. The differences in the cis and trans polymers leads to major differences in their properties and utilization. Thus, cis1,4-polyisoprene has very low crystallinity, has low Tg and Tm values, and is an excellent elastomer over a considerable temperature range, which includes ambient temperatures. About 2 billion pounds per year of cis-1,4-polyisoprene are used in the United State for tires, footwear, gloves, molded objects, adhesives, ruber bands, and other typical elastomer applications. trans-1,4-Polyisoprene is a much harder, much less rubbery polymer since it has relatively high Tg and Tm values and signi cant crystallinity. It is less an elastomer and more like a thermoplastic. trans-1,4-Polyisoprene has very good resistance to abrasion and is used in golf-ball covers and orthopedic devices. 1,4-Polyisoprene is found in nature in both the cis and trans forms. Hevea rubber, obtained from the Hevea brasiliensis tree (in Brazil, Indonesia, Malaysia, Sri Lanka), is the major naturally occurring 1,4-polyisoprene. It contains more than 98% of the double bonds in the cis con guration. (Over 90% of all cis1,4-polyisoprene used commerically is the natural Hevea rubber.) cis-1,4-Polyisoprene is also found in the guayule bush. Other trees, mostly in Central America and Malaysia, yield gutta percha or balata rubber, which is predominantly the trans isomer.

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8-2a-3

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The isomeric polysaccharides amylose (a component of starch) and cellulose also show the signi cance of stereoisomerism on polymer properties. Cellulose and amylose have the structures shown in Fig. 8-8. (Amylopectin, the other component of starch, has the same structure as amylose except that it is branched at carbon 6.) Both are polymers of glucose in which the

We consider the question of the sensitivity of the MLP model to perturbations of a finite data set. We graphically demonstrating a number of facts about the MLP model, principally its sensitivity to a large number of conditions. We fit MLP models to several small simulated data sets in one- and twodimensional feature spaces, and examine the resulting models. The experiments cover the following cases:

glucose units are joined together by glycoside linkages at carbons 1 and 4. The two polysaccharides differ only in the con guration at carbon 1. In terms of the nomenclature used for stereoregular polymers, cellulose has a threodisyndiotactic structure while amylose is erythrodiisotactic. In the nomenclature of carbohydrate chemistry, cellulose consists of b-1,4-linked D-glucopyranose chains and amylose of a-1,4linked D-glucopyranose chains. The 1,4-linkage is trans (diequatorial) in cellulose and cis (equatorial axial) in amylose. The difference in structure results in amylose existing in a random-coil conformation while cellulose exists in an extended-chain conformation. This leads to closer packing of polymer molecules with much greater intermolecular attractive forces and crystallinity in cellulose relative to amylose (and also amylopectin). Cellulose, compared to amylose, has good physical strength and mechanical properties, decreased solubility, and increased stability to hydrolysis. The result is that cellulose is used as a structural material both in nature (plants) and by people. Although starch is not useful as a structural material, it does serve important functions as a food source and storage form of energy for both plants and animals. The structure of each polysaccharide is uniquely tted to its biological function in nature. 8-2b Analysis of Stereoregularity

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