✦ LIBER ✦

Randomized neural networks for learning stochastic dependences

✍ Scribed by Borkar, V.S.; Gupta, P.

Book ID: 117874510
Publisher: IEEE
Year: 1999
Tongue: English
Weight: 318 KB
Volume: 29
Category: Article
ISSN: 1083-4419
DOI: 10.1109/3477.775263

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Delay-distribution-dependent state estim

Delay-distribution-dependent state estimation for discrete-time stochastic neural networks with random delay

✍ Haibo Bao; Jinde Cao 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 309 KB

Principles of evolutionary learning desi

Principles of evolutionary learning design for a stochastic neural network

✍ Harold M. Hastings; Stefan Waner 📂 Article 📅 1985 🏛 Elsevier Science 🌐 English ⚖ 347 KB

Reinforcement learning in random neural

Reinforcement learning in random neural networks for cascaded decisions

✍ Ugur Halici 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 771 KB

Neural network learning based on stochas

Neural network learning based on stochastic sensitivity analysis

✍ Koda, M. 📂 Article 📅 1997 🏛 IEEE 🌐 English ⚖ 135 KB

Improving reinforcement learning in stoc

Improving reinforcement learning in stochastic RAM-based neural networks

✍ Alistair Ferguson; Hamid Bolouri 📂 Article 📅 1996 🏛 Springer US 🌐 English ⚖ 250 KB

RAM-based neural networks are designed to be efficiently implemented in hardware. The desire to retain this property influences the training algorithms used, and has led to the use of reinforcement (reward-penalty) learning. An analysis of the reinforcement algorithm applied to RAM-based nodes has s

Learning long-term dependencies with rec

Learning long-term dependencies with recurrent neural networks

✍ Anton Maximilian Schaefer; Steffen Udluft; Hans-Georg Zimmermann 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 422 KB