The feature selection has been widely used to reduce the data dimensionality. Data reduction improve classification performance, approximation function, and pattern recognition systems in terms of speed, accuracy simplicity. A strategy number features local search are sequential algorithms. In this work is presented a method based on Sequential Forward Selection (SFS) Feed Neural Network (FFNN) estimate prediction error as criterion. Three well-known database have test SFS-FFNN with...

In this paper, we propose the distributed bees algorithm (DBA) for task allocation in a swarm of robots. proposed scenario, consists assigning robots to found targets 2-D arena. The expected distribution is obtained from targets' qualities that are represented as scalar values. Decision-making mechanism and autonomously choose their assignments taking into account distances. We tested scalability DBA terms number targets. For that, experiments were performed simulator various sets...

Salamanca has been ranked as one of the most polluted cities in Mexico. The industry area led to a major economic development and rapid population growth second half twentieth century. concerning registered pollutants are sulfur dioxide (SO2) particles order 10 micrometers or less (PM10). prediction concentrations those can be powerful tool take preventive measures such reduction emissions alerting affected population. This work presents forecasting model predict average concentration PM10...

The assessment of the risk default on credit is important for financial institutions. Different Artificial Neural Networks (ANN) have been suggested to tackle scoring problem, however, obtained error rates are often high. In search best ANN algorithm scoring, this paper contributes with application an Training Algorithm inspired by neurons' biological property metaplasticity. This especially efficient when few patterns a class available, or information inherent low probability events crucial...

Breast cancer is one of the leading causes female mortality in world, and early detection an important means reducing rate. The presence microcalcification clusters has been considered as a very indicator malignant types breast cancer, its to prevent treat disease. This paper presents effective approach, order detect digitized mammograms, based on synergy image processing partitional (hard fuzzy) clustering techniques. Mathematical morphology used for processing, this work first step, with...

Abstract. Computed Tomography (CT) images provide a non-invasive alternative for observing soil structures, particularly pore space. Pore space in data indicates empty or free the sense that no material is present there except fluids such as air, water, and gas. Fluid transport depends on where spaces are located soil, this reason, it important to identify zones. The low contrast between CT presents problem with respect quantification. In paper, we methodology integrates image processing,...

Conventional image edge detectors always result in missing parts of the edges. Broken linking is an improvement technique that complementary to detection, where broken edges are connected form closed contours order separate regions image. In this paper, Ant System (AS) algorithm modified for problem. As input, a binary obtained after applying Sobel operator used. The proposed method defines novel fitness function dependent on two variables: grayscale visibility pixels and length connecting...

In this paper, Ant Colony System (ACS) algorithm is applied for edge detection in grayscale images. The novelty of the proposed method to extract a set images from original image using Multiscale Adaptive Gain contrast enhancement and then apply ACS detect edges on each extracted resulting represents pheromone trails matrices which are summed produce output image. makes more effective when accumulating true pixels. results experiments presented confirm effectiveness method.

Artificial Metaplasticity (AMP) is a novel Neural Network (ANN) training algorithm inspired in biological metaplasticity property of neurons and Shannon's information theory. During phase, the AMP gives more relevance to less frequent patterns subtracts ones, achieving much efficient training, while at least maintaining MLP's performance. specially recommended when few are available train network. In this paper, we implement an MLP (AMMLP) order classify defects wood images. The three...

In this work we propose a method for sub-segmentation of images using the PFCM clustering algorithm. The consists finding, within clusters found segmentation process, those data less representative, or atypical data, belonging to clusters. These represent, in many cases, zones interest during image analysis. Two different examples are used order show results, and advantages identifying elements forced belong cluster, which they representative and, therefore may contain information great...

Unmanned Aerial Vehicle (UAV) is defined as aircraft without the onboard presence of pilots. UAVs have been used to perform intelligence, surveillance, and reconnaissance missions. The are not limited military operations, they can also be in commercial applications such telecommunications, ground traffic control, search rescue crop monitoring, etc. In this paper, we propose a swarm intelligence-based method for UAVs' route optimization. team area coverage with set waypoints. problem...

Abstract Metaplasticity property of biological synapses is interpreted in this paper as the concept placing greater emphasis on training patterns that are less frequent. A novel implementation proposed which, during network learning phase, a priority given to weight updating frequent activations over more ones. Modeling interpretation hypothesis an improved tested Multilayer Perceptron type with Backpropagation training. The results obtained for chosen application show much efficient...

Numerous studies and reviews about University Knowledge Transfer Offices (UKTO) have been written, but there are few that focus on Social Responsibility (SR). We present a systematic review of the research both fields. consider not only logics from agency theory resource-based view, also dynamic approach institutional theory, as they aim to generate sustainable economic social value. The evolution depends their role brokers collaborations among different stakeholders, according mission...