Neural Network With Multidimensional Transfer Function  

Oleh:

Tsitouras, C.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 13 no. 1 (2002), page 222-228.
Topik: NEURAL NETWORKS; neural network; multidimensional; transfer; functions

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.6 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

We present a new type of neural network (NN) where the data for the input layer are the value x & epsiv ; R, the vector y& epsiv ; Rm associated to an initial value problem (IVP) with y' (x)= f (y (x)) and a steplength h. Then the stages of a Runge - Kutta (RK) method with trainable coefficients are used as hidden layers for the integration of the IVP using f as transfer function. We take as output two estimations y*, yˆ* of IVP at the point x + h. Training the RK method at some test problems and counting the cost of the method under the coefficients used, we may achieve coefficients that help the method to perform better at a wider class of problems.

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