Kolmogorov's Spline Network  

Oleh:

Igelnik, B. ; Parikh, N.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 14 no. 4 (Jul. 2003), page 725-733.
Topik: multiple spline assotiations; kolmogorov's spline; network

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.8 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

In this paper, an innovative neural - network architecture is proposed and elucidated. This architecture, based on the Kolmogorov's superposition theorem (1957) and called the Kolmogorov's spline network (KSN), utilizes more degrees of adaptation to data than currently used neural - network architectures (NNAs). By using cubic spline technique of approximation, both for activation and internal functions, more efficient approximation of multivariate functions can be achieved. The bound on approximation error and number of adjustable parameters, derived in this paper, favorably compares KSN with other one - hidden layer feedforward NNAs. The training of KSN, using the ensemble approach and the ensemble multinet, is described. A new explicit algorithm for constructing cubic splines is presented.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali