✦ LIBER ✦

Improvement of the backpropagation algorithm for training neural networks

✍ Scribed by J. Leonard; M.A. Kramer

Publisher: Elsevier Science
Year: 1990
Tongue: English
Weight: 444 KB
Volume: 14
Category: Article
ISSN: 0098-1354
DOI: 10.1016/0098-1354(90)87070-6

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

New algorithms for training feedforward

New algorithms for training feedforward neural networks

✍ Subhash Kak 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 270 KB

Efficient genetic algorithms for trainin

Efficient genetic algorithms for training layered feedforward neural networks

✍ Byungjoo Yoon; Dawn J. Holmes; Gideon Langholz; Abraham Kandel 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 952 KB

A new error backpropagation learning alg

A new error backpropagation learning algorithm for a layered neural network with nondifferentiable units

✍ Hidenori Naganuma; Takahumi Oohori; Kazuhisa Watanabe 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 714 KB

Two corner classification algorithms for

Two corner classification algorithms for training the Kak feedforward neural network

✍ Kedar Babu Madineni 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 327 KB

Neural network structures and training a

Neural network structures and training algorithms for RF and microwave applications

✍ Fang Wang; Vijaya K. Devabhaktuni; Changgeng Xi; Qi-Jun Zhang 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 386 KB

Neural networks recently gained attention as fast and flexible vehicles to microwave modeling, simulation, and optimization. After learning and abstracting from microwave data, through a process called training, neural network models are used during microwave design to provide instant answers to the

Fast backpropagation learning using opti

Fast backpropagation learning using optimization of learning rate for pulsed neural networks

✍ Kenji Yamamoto; Seiichi Koakutsu; Takashi Okamoto; Hironori Hirata 📂 Article 📅 2011 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 524 KB