✦ LIBER ✦

A hybrid quantum-inspired neural networks with sequence inputs

✍ Scribed by Li, Panchi; Xiao, Hong; Shang, Fuhua; Tong, Xifeng; Li, Xin; Cao, Maojun

Book ID: 121421423
Publisher: Elsevier Science
Year: 2013
Tongue: English
Weight: 775 KB
Volume: 117
Category: Article
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2013.01.029

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Sequence Input-Based Quantum-Inspired Ne

Sequence Input-Based Quantum-Inspired Neural Networks with Applications

✍ Li, Panchi; Xiao, Hong 📂 Article 📅 2013 🏛 Springer US 🌐 English ⚖ 958 KB

Model and algorithm of quantum-inspired

Model and algorithm of quantum-inspired neural network with sequence input based on controlled rotation gates

✍ Li, Panchi; Xiao, Hong 📂 Article 📅 2013 🏛 Springer US 🌐 English ⚖ 902 KB

Application of Neural Network to Hybrid

Application of Neural Network to Hybrid Systems With Binary Inputs

✍ Holderbaum, William 📂 Article 📅 2007 🏛 IEEE 🌐 English ⚖ 498 KB

Hierarchical hybrid fuzzy-neural network

Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables

✍ Di Wang; Xiao-Jun Zeng; John A. Keane 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 474 KB

A hybrid neural network for input that i

A hybrid neural network for input that is both categorical and quantitative

✍ Roelof K. Brouwer 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 173 KB

The data on which a MLP (multilayer perceptron) is normally trained to approximate a continuous function may include inputs that are categorical in addition to the numeric or quantitative inputs. Examples of categorical variables are gender, race, and so on. An approach examined in this article is t

A scatterometer neural network sensor mo

A scatterometer neural network sensor model with input noise

✍ Dan Cornford; Guillaume Ramage; Ian T. Nabney 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 332 KB