Determining Solutions of Fuzzy Cellular Neural Networks with Fluctuating Delays

This pap er deals with the problem of nonp erio dic arrange ments for fuzzy cell neuralsystems with fluctuating delays. By utiliz ing c ompre ssion mapping and Krasnoselski’ssettled p oint hyp othesis and developing some appropriate Lyapunov functionals, ade quateconditions are s et up for the presence and worldwide exp onential solidness of solutions ofFCNNs with fluctuating delays. In addition, illustrative examples are set up to exhibit amo del.

Improving the Classification Accuracy of Multidimensional Overlapping Objects Based on Neuro-Fuzzy Analysis of Generalized Patterns

To improve the classification accuracy of multidimensional overlapping objects, a new hybrid neuro-fuzzy FCNN-SOM-FMLP network, combining the fuzzy cell neural network of Kohonen (FCNN-SOM) and the fuzzy multilayer perceptron (FMLP), and the algorithms for its training are proposed. This combination allows for clustering of generalized intersecting patterns (the extensional approach) and training the classification network basing on the identification of integrated pattern characteristics in the isolated clusters (intentional approach). The new FCNN-SOM-FMLP architecture features a high degree of self-organization of neurons, an ability to manage selectively individual neuronal connections (to solve the problem of “dead” neurons), the high flexibility, and the ease of implementation. The experimental results show the temporal efficiency of algorithms of self-organization and training and the improvement of the separating properties of the network in the case of overlapping clusters. Calculated technological and economic generalized values of countries.

Pursuit Algorithm for Robot Trash Can Based on Fuzzy-Cell Decomposition

<p>Scooby Smart Trash can is a trash can equipped with artificial intelligence algorithms that is able to capture and clean up garbages thrown by people who do not care about the environment. The can is called smart because it acts like scoobydoo in a children's cartoon in that the can will react if there is garbage thrown and it catches and cleans them up. This paper presents pursuit algorithm that uses cell decomposition algorithm in which algorithms are used to create a map of the robot's path and fuzzy algorithm as one of the artificial intelligence algorithm for robot path planning. By using the combined algorithms, the robot is able to pursuit and chases the trash carelessly discarded, but it has not been able to find the shortest distance. Therefore, this paper considers a second modification of the algorithm by adding a potential field algorithm used to add weight values on the map, so that the robot can pursue trash by finding the shortest path. The proposed algorithm shows that the robot can avoid obstacles and find the shortest path so that the time required to get to the destination point is fast.</p>

Pursuit Algorithm for Robot Trash Can Based on Fuzzy-Cell Decomposition

<p>Scooby Smart Trash can is a trash can equipped with artificial intelligence algorithms that is able to capture and clean up garbages thrown by people who do not care about the environment. The can is called smart because it acts like scoobydoo in a children's cartoon in that the can will react if there is garbage thrown and it catches and cleans them up. This paper presents pursuit algorithm that uses cell decomposition algorithm in which algorithms are used to create a map of the robot's path and fuzzy algorithm as one of the artificial intelligence algorithm for robot path planning. By using the combined algorithms, the robot is able to pursuit and chases the trash carelessly discarded, but it has not been able to find the shortest distance. Therefore, this paper considers a second modification of the algorithm by adding a potential field algorithm used to add weight values on the map, so that the robot can pursue trash by finding the shortest path. The proposed algorithm shows that the robot can avoid obstacles and find the shortest path so that the time required to get to the destination point is fast.</p>