J.C. Principe, B. de Vries, J.M. Kuo, and P. Guedes de Oliveira. Modeling applications with the focused gamma net. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems, volume 4, pages 143--150, San Mateo, CA, 1992. Morgan Kaufmann.  Home/Search   Document Details and Download   Summary   Related Articles

....also implies that the IIR MLP can be further generalized to use alternative discrete time operators in the IIR synapses. 5.2 Multiple pole models Each operator as designated in (16) has just a single pole. An MLP( model which has multiple operators, each with different poles, was proposed in [45]. This was termed a focussed network . In this case, we have z l k (t) f 0 x l k (t) 1 (25) x l k (t) P N l j=1 w l kj z l01 j (t) l = 2; L P N 1 j1 =1 w 1 kj11 0j1 1 1 1 1 P N 1 jM=1 w 1 kjM M 0jM M x(t) l = 1 (26) This approach can be applied to each of ....

....in the rho and then gamma models, with fewer instability problems occurring. Experiment 2 The second experiment used a model described by H(z) 1 0 0:8731q 01 0 0:8731q 02 q 03 1 0 2:8653q 01 2:7505q 02 0 0:8843q 03 (55) This system is a 3rd order lowpass filter tested in [45]. The same experimental procedures as used in Experiment 6.1 were followed in this case. For the second experiment (see Table 2) it was found that the pi operator gave the best results recorded over all the tests. On average however, the improvement for this identification problem is less. It is ....

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J.C. Principe, B. de Vries, J.M. Kuo, and P. Guedes de Oliveira. Modeling applications with the focused gamma net. In J.E. Moody, S.J. Hanson, and R.P. Lippman, editors, Advances in Neural Information Processing Systems, volume 4, pages 143--150, San Mateo, CA, 1992. Morgan Kaufmann.

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