Download e-book for kindle: Advances in Fuzzy Logic, Neural Networks and Genetic by Hirohide Ushida, Tomohiko Sato (auth.), Takeshi Furuhashi

By Hirohide Ushida, Tomohiko Sato (auth.), Takeshi Furuhashi (eds.)

This ebook offers 14 carefully reviewed revised papers chosen from greater than 50 submissions for the 1994 IEEE/ Nagoya-University global Wisepersons Workshop, WWW'94, held in August 1994 in Nagoya, Japan.
The blend of ways in accordance with fuzzy good judgment, neural networks and genetic algorithms are anticipated to open a brand new paradigm of desktop studying for the belief of human-like details processing structures. the 1st six papers during this quantity are dedicated to the mix of fuzzy good judgment and neural networks; 4 papers are on find out how to mix fuzzy good judgment and genetic algorithms. 4 papers examine demanding functions of fuzzy structures and of fuzzy-genetic algorithms.

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Extra resources for Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms: IEEE/Nagoya-University World Wisepersons Workshop Nagoya, Japan, August 9–10, 1994 Selected Papers

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Our key insight is that local path equivalence is an expressive and powerful tool that reveals shared outcomes in collision-testing. Specifically, two equivalent neighboring paths cover some common ground in the workspace, and between them lies a continuum of covered paths. We develop the mathematical foundations to detect equivalence relations among all local paths based on a finite precomputed path set. We then utilize these tools to devise efficient algorithms for detecting equivalence and implicitly collision-testing local paths.

N. Singh, and H. Durrant-Whyte Fig. 3 Three trajectories for a car (rectangle), all resulting from the same control input. The behaviour is sensitive to initial conditions (speed and turning rate), causing different trajectories. In general, equality of the third part of the control inputs, u3 , can not be used, as the final states of the middle segments, Φu (x0 , Iu+2 ) and Φu (x0 , Iv+2 ), need not coincide. Using different states as initial states for the third part of the path can result in a variety of different trajectories as illustrated in Fig.

At bottom: this plot, generated numerically, approximates the set of appropriate choices for v and w. The gray region at top right must be avoided, as we show in Lemma 2. Such choices would permit an obstacle to occur between two safe paths that obey (3). A path whose values fall in the white region is called an appropriate path. 1 Properties of Paths In this section, we establish a small set of conditions under which we can quickly determine that two paths are equivalent. We constrain path shape through two dimensionless ratios relating three physical parameters.

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