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\Neural Network Toolbox

  Kevin Swingler  "Applying Neural Networks. A practical Guide" ( ..)

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  1. V.Frean. The upstart algorithm: A method for constructing and training feedforward neural networks/ Neural Computation, 2:198-209, 1990 [37]
  2. S.E.Fahlman and C.Lebiere. The cascade-correlation learning architecture/ In D.S.Tourentzky, editor, Advance in Neural Information Processing Systems, v.2, p.p. 524-532. Morgan Kaufmann, 1990 [35]
  3. A.N.Refenes. Constructive learning and its application to currency exhange rate forecasting. In E.Turban and R.Trippi, editors, Neural Network Applications in Investment and Finance Servises. Probus Publishing. [79]
  4. E.B.Barlett. Dynamic node architecture learning: An information theoretic approach. Neural Networks, 7:129-140,1994. [10]
  5. Y.Le Cun, J.S.Denker, and S.A.Sollar. Optimal brain damage . In Advance in Neural Information aprocessing Systems, v. 2, p.p. 598-605. Morgan Kaufman, 1990. [29]
  6. DTI. Best Practice Guidelines for Developing Neural Computing Applications. Touche Ross for the DTI, 1994. [31]
  7. B.D.Ripley. Statistical aspects of neural networks. Invited lecture, NCAF, Oxford, 1994. [83]
  8. C.Bishop. Training with noise is equivalent to Tichonov regularization. Neural Computation, 7(1):108-116, 1995. [16]

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