✦ LIBER ✦

On the solution of the parity problem by a single hidden layer feedforward neural network

✍ Scribed by Rudy Setiono

Book ID: 114296840
Publisher: Elsevier Science
Year: 1997
Tongue: English
Weight: 608 KB
Volume: 16
Category: Article
ISSN: 0925-2312
DOI: 10.1016/s0925-2312(97)00030-1

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Solving the nonlinear regulator equation

Solving the nonlinear regulator equations by a single layer feedforward neural network

✍ Yun-Chung Chu; Jie Huang 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 238 KB

This paper proposes to solve the nonlinear regulator equations based on a single hidden layer feedforward neural network, leading to an effective approach to approximately solve the nonlinear servomechanism problem. The resulting design method is illustrated by application to the wellknown ball and

CMA-based nonlinear blind equaliser mode

CMA-based nonlinear blind equaliser modelled by a two-layer feedforward neural network

✍ Dai, X.H. 📂 Article 📅 2001 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 645 KB

A neural network solution to the transve

A neural network solution to the transverse patterning problem depends on repetition of the input code

✍ Xiangbao Wu; Joanna Tyrcha; William B Levy 📂 Article 📅 1998 🏛 Springer-Verlag 🌐 English ⚖ 827 KB

On representation of the solution of the

On representation of the solution of the Neumann problem in a domain with peak by the harmonic simple layer potential

✍ V. G. Maz’ya; S. V. Poborchii 📂 Article 📅 2009 🏛 Allerton Press, Inc. 🌐 English ⚖ 245 KB