✦ LIBER ✦

A teaching method for accelerating the reinforcement learning and tuning of fuzzy rules

✍ Scribed by L. Wang; H. Seki; H. Itoh

Publisher: Elsevier Science
Year: 1995
Tongue: English
Weight: 330 KB
Volume: 29
Category: Article
ISSN: 0360-8352
DOI: 10.1016/0360-8352(95)00068-c

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A new approach of neuro-fuzzy learning a

A new approach of neuro-fuzzy learning algorithm for tuning fuzzy rules

✍ Yan Shi; Masaharu Mizumoto 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 609 KB

A fuzzy reinforcement learning approach

A fuzzy reinforcement learning approach for self-optimization of coverage in LTE networks

✍ Rouzbeh Razavi; Siegfried Klein; Holger Claussen 📂 Article 📅 2010 🏛 Institute of Electrical and Electronics Engineers 🌐 English ⚖ 802 KB

Use of Mathcad as a teaching and learnin

Use of Mathcad as a teaching and learning tool for reinforced concrete design of footings

✍ Mohammed S. Al-Ansari; Ahmed B. Senouci 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 236 KB 👁 3 views

Owing to their nature, numerous and complex equations are commonly used in the design of reinforced concrete structures. This is because of the nature of reinforced concrete design. Mathcad, which possesses efficient computation and presentation capabilities, holds strong potential as a teaching too

Neuro-fuzzy ID3: a method of inducing fu

Neuro-fuzzy ID3: a method of inducing fuzzy decision trees with linear programming for maximizing entropy and an algebraic method for incremental learning

✍ H. Ichihashi; T. Shirai; K. Nagasaka; T. Miyoshi 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 705 KB

A one-parameter method for accelerating

A one-parameter method for accelerating the convergence of sequences and series

✍ A.C. Smith 📂 Article 📅 1978 🏛 Elsevier Science 🌐 English ⚖ 721 KB

An iterative non-stationary method, depending on a parameter, has been obtained for accelerating the convergence of power series. When the parameter is equal to t I, the method of Salzer and Sdsz[4,6] is recovered (called Method A), and when the parameter is equal to the argument of the power series

Design and rule base reduction of a fuzz

Design and rule base reduction of a fuzzy filter for the estimation of motor currents

✍ Dan Simon 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 373 KB

Fuzzy systems have been used extensively and successfully in control systems over the past few decades, but have been applied much less often to ®ltering problems. This is somewhat surprising in view of the dual relationship between control and estimation. This paper discusses and demonstrates the a