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[Schwartz et al 1990] DB Schwartz, VK Samalam, SA Solla, JS Denker, Exhaustive Learning, Neural Computation, Vol 2, 1990, pp 374 385 [Sejnowski 1977] T Sejnowski, Storing Covariance with Nonlinearly Interacting Neurons, Journal of Mathematical Biology, Vol 4, 1997, pp 303 321 [Seung et al 1992] HS Seung, M Opper, H Sompolinsky, Query by Committee, Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory, 1992, pp 287 299 [Sevenster and Engelbrecht 1996] S Sevenster, AP Engelbrecht, GARTNet: A Genetic Algorithm for Routing in Telecommunications Networks, Proceedings of CESA96 IMACS Multiconference on Computational Engineering in Systems Applications, Symposium on Control, Optimization and Supervision, Lille, Prance, Vol 2, 1996, pp 1106 1111 [Shi and Eberhart 1999] Y Shi, RC Eberhart, Empirical Study of Particle Swarm Optimization, Proceedings of the IEEE Congress on Evolutionary Computation, Vol 3, 1999, pp 1945 1950.

In the case that e is idempotent, the splitting rule can be simplified to < k:P:T> e < k:Q:T> = < f c : P v Q : 7 > .

Now:

(11.50)

(5.63) and therefore r'dr' = rTdrT. Preparing for the substitution r' for rT, then when r_ = 0, r' = |z'|\, and when r_. = oo, r' = oo, and hence: (5.64) which can be integrated by parts in the same manner as in Section 5.3, with the following choices: which gives: Thus, applying the above to equation (5.64) gives:

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[Sietsma and Dow 1991] J Sietsma, RJF Dow, Creating Artificial Neural Networks that Generalize, Neural Networks, Vol 4, 1991, pp 67 79 [Slade and Gedeon 1993] P Slade, TD Gedeon, Bimodal Distribution Removal, International Workshop on Artificial Neural Networks, in J Mira, J Cabestany, A Prieto (eds), New Trends in Neural Computation, in the series Lecture Notes in Computer Science, Springer-Verlag, Berlin, 1993, pp 249 254 [Snyman 1982] JA Snyman, A New and Dynamic Method for Unconstrained Minimization, Applied Mathematical Modelling, Vol 6, 1982, pp 449 462 [Snyman 1983] JA Snyman, An Improved Version of the Original LeapFrog Dynamic Method for Unconstrained Minimization: LFOPl (b), Applied Mathematical Modelling, Vol 7, 1983, pp 216 218 [Spector and Luke 1996] L Spector, S Luke, Cultural Transmission of Information in Genetic Programming, Proceedings of the First Annual Conference on Genetic Programming, 1996, pp 209 214 [Steppe et al.

Furthermore, the right side can be generalized from a disjunction of two propositions P and Q to a disjunction of an arbitrary number (i.e. existential quantification) of propositions. We obtain the following. If is idempotent, [Splitting] < j: :< fc:S:r = (< k:(3j:R:S}:T) . (11.51)

which after evaluation gives:

Two trading rules allow information to be traded between the type of the dummy and the range, and between the range and the term part. [Trading] [Trading] ( fce : P A Q : T) = ( fee {keK \P] :Q:T> . ( f c : P A Q : T ) = ( fc : Q : if P T n --P * l e fi> . (11.52) (11.53)

Turning attention to the second integral, and using the particular expression for r" and plane polar coordinates, then:

1996] JM Steppe, KW Bauer, SK Rogers, Integrated Feature and Architecture Selection, IEEE Transactions on Neural Networks, Vol 7, No 4, 1996, pp 1007 1014 [Su et al 1999] MC Su, TA Liu, HT Chang, An Efficient Initialization Scheme for the Self-Organizing Feature Map Algorithm, Proceedings of the IEEE International Joint Conference in Neural Networks, 1999..

We give just one rule pertaining to the term part. See the discussion of distributMty below as well. [Rearranging] ( fe : R : IbeTi) = (@k:R:T0) 9 (@k:R:Ti) . (11.54)

Now:

Distributivity properties are very important in mathematical calculations; they are also very important in computations because they are used to reduce the number of calculations that are performed. A typical distributivity property is the property that negation distributes through addition: -(x+y) = (-x) + (-y) . The property is used to 'factor out' negation, in order to replace subtractions by additions. Similarly, the fact that multiplication distributes through addition xx(y+z) = xxy + xxz is used to reduce the number of multiplications.

and therefore:

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