✦ LIBER ✦

A dynamical neural network for hitting an approaching object

✍ Scribed by Joost C. Dessing; Simone R. Caljouw; C. (Lieke) E. Peper; Peter J. Beek

Book ID: 106106791
Publisher: Springer-Verlag
Year: 2004
Tongue: English
Weight: 421 KB
Volume: 91
Category: Article
ISSN: 0340-1200
DOI: 10.1007/s00422-004-0520-4

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

An object-oriented language for neural n

An object-oriented language for neural network simulation

✍ K.F. Loe; L.S. Hsu; S.C. Chan; H.B. Low 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 93 KB

An interactive multi-objective artificia

An interactive multi-objective artificial neural network approach for machine setup optimization

✍ Behnam Malakooti; Vishnu Raman 📂 Article 📅 2000 🏛 Springer US 🌐 English ⚖ 100 KB

NEURObjects: an object-oriented library

NEURObjects: an object-oriented library for neural network development

✍ Giorgio Valentini; Francesco Masulli 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 288 KB

A Cellular Neural Network Methodology fo

A Cellular Neural Network Methodology for Deformable Object Simulation

✍ Yongmin Zhong; Shirinzadeh, B.; Alici, G.; Smith, J. 📂 Article 📅 2006 🏛 IEEE 🌐 English ⚖ 875 KB

An efficient neural network approach to

An efficient neural network approach to dynamic robot motion planning

✍ Simon X Yang; Max Meng 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 259 KB

In this paper, a biologically inspired neural network approach to real-time collision-free motion planning of mobile robots or robot manipulators in a nonstationary environment is proposed. Each neuron in the topologically organized neural network has only local connections, whose neural dynamics is

Artificial neural network based approach

Artificial neural network based approach for dynamic parameter design

✍ Jae-Ryung Jung; Bong-Jin Yum 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 255 KB