Recent progress in neural networks has shown blah blah blah blah blah blah blah blah blah by the author in 1924 [1]. Attitudes are more important than facts. How you think about a fact may defeat you before you ever do anything about it. You may permit a fact to overwhelm you mentally before you start to deal with it actually. On the other hand, a confident and optimistic thought pattern can modify or overcome the fact altogether. Blah blah blah blah blah blah blah blah blah blah blah blah with blah blah. Blah blah blah faster than optics and greater computing power than VLSI. Blah blah blah blah blah blah blah provided the proper representation is used blah blah blah blah blah and an adjustable step is used to speed convergence without good minimas but still insuring that optimal solutions are avoided. Blah blah leap tall buildings in a single bound blah blah blah blah.

Unlike the networks described by Pith and Campus [2] this network is proven to be blah while still maintaining its moral, structural and territorial integrity. When things go wrong as they ometimes will, when the road you're trudging seems all up hill, when funds are low and debts are high, and you want to smile, but you have to sigh; when care is pressing you down a bit-rest if you must, but don't you quit.

Success is failure turned inside out. The silver tint of clouds of doubt. You never can tell how close you are. It may be near when it seems afar. So stick to the fight when you're hardest hit, its when things go wrong that you musn't quit. Blah blah blah blah blah blah blah as long as we do not have an accountant blah blah bankrupt.

References

[1] Sivi, S., Pack, M., Parr, A., Bellum, C.E.: "Natting Neural Networks", Neuralia Town Crier, 27, 137 (1924).
[2] U. R. Pith and H. Campus, "Fundamental Axons of Connectionists Models",
     New England Journal of High Tech Trends, 17887, (1986).

Topic: learning theory
Preference: oral/poster