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1 Neural networks can learn solutions to difficult problems.
2 Neural networks are computer systems which mimic the workings of the brain.
3 Some people suffered severe neural damage as a result of the vaccination.
4 By 1989, they were using neural networks to assess credit risks.
5 Research expanded; neural net-work terminology came into its own.
6 Neural microchips come in a variety of designs.
7 A neural mechanism seems, by contrast, to be feasible.
8 Periodic neural activity is a normal behavior.
9 His dissertation on feline neural disorders would waIt.
10 The multidisciplinary approach to neural networks is exciting.
11 Neural networks go by many aliases.
12 Texas Instruments sees neural networks as a reusable technology.
13 Neural networks deal only with numeric input data.
14 The neural network picture is still building.
15 Hitachi has developed a wafer-scale neural network.
16 Now almost all neural networks use artificially injected noise.
17 Some neural network implementations require this special-purpose hardware.
18 It should be pointed out that different neural net-work architectures will generate different output results for the same problem.
19 Neural networks are performing tasks that have posed stumbling blocks for previous technologies.
20 Neural networks may be used for algorithm development as well.
21 Kunihiko Fukushima developed the Neocognitron,(sentencedict.com)(www.Sentencedict.com) a neural net-work model for visual pattern recognition.
22 Critics might say that neural networks just do a good job of keeping statistics.
23 Accompanying the expanded domain of r4 expression, neural crest cells migrating from this region also express r4 markers.
24 It is comprised of two different neural networks, a rule set, and a graphics interface.
25 In order for the neural network software to recognize the input data, we must enter each image or number serially.
26 They are subject to regulation by many neural, hormonal, and paracrine factors, acting via intracellular mediators.
27 The neural network collects its data incrementally, every five minutes.
28 Such an algorithm can provide an alternative learning mechanism in a neural network.
29 These structural differences create different learning paradigms by which neural networks are classified.
30 The following tables illustrate this important difference between the current inspection method and the neural network approach.
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