Intelligent Databases
... formulate the queries by accepting query expressions (ex: attribute=val instead of any SQL like query) from them. Hence it hides the internal schematic descriptions from users. During the search, if user is not satisfied with the results returned by Petrographer, he/she can modify the query expressi ...
... formulate the queries by accepting query expressions (ex: attribute=val instead of any SQL like query) from them. Hence it hides the internal schematic descriptions from users. During the search, if user is not satisfied with the results returned by Petrographer, he/she can modify the query expressi ...
SOFT COMPUTING AND ITS COMPONENTS
... our understanding of how the brain learns. It is a simplified model of the biological neural system. It consists of highly interconnected neural computing elements that have the ability to learn and thereby acquire knowledge and making it available for use. Their practical application includes speec ...
... our understanding of how the brain learns. It is a simplified model of the biological neural system. It consists of highly interconnected neural computing elements that have the ability to learn and thereby acquire knowledge and making it available for use. Their practical application includes speec ...
Soft Computing and its Applications
... that lends itself to implementation in systems ranging from simple, small, embedded micro-controllers to large, networked, multi-channel PC or workstationbased data acquisition and control systems. It can be implemented in hardware, software, or a combination of both. FL provides a simple way to arr ...
... that lends itself to implementation in systems ranging from simple, small, embedded micro-controllers to large, networked, multi-channel PC or workstationbased data acquisition and control systems. It can be implemented in hardware, software, or a combination of both. FL provides a simple way to arr ...
Soft Computing: Potentials and Applications in Oil Exploration
... ground using energy sources such as vibrator, air guns or dynamite. These waves pass through the earth surface and receivers are used to collect the data reflected off of the rock layers [15]. This data can be processed and analysed to develop a clear understanding of the rock surface and other geol ...
... ground using energy sources such as vibrator, air guns or dynamite. These waves pass through the earth surface and receivers are used to collect the data reflected off of the rock layers [15]. This data can be processed and analysed to develop a clear understanding of the rock surface and other geol ...
Role of right pregenual anterior cingulate cortex in self
... Subjects were assessed at the University of California, Berkeley. Subjects signed consent forms and were then seated in a well-lit, 3 m 6 m experiment room. All stimuli and instructions were presented on a 21-inch color television monitor at a distance of 1.75 m from the subject. Subjects particip ...
... Subjects were assessed at the University of California, Berkeley. Subjects signed consent forms and were then seated in a well-lit, 3 m 6 m experiment room. All stimuli and instructions were presented on a 21-inch color television monitor at a distance of 1.75 m from the subject. Subjects particip ...
Project themes in computational brain modelling and brain
... tissue. This way both dynamical and functional aspects of fascinating cortical phenomena can be studied. Such spiking neural network models are usually developed using dedicated simulation software, e.g. Nest, Neuron, Genesis etc. More abstract networks relying on rate-based units (i.e. with non-spi ...
... tissue. This way both dynamical and functional aspects of fascinating cortical phenomena can be studied. Such spiking neural network models are usually developed using dedicated simulation software, e.g. Nest, Neuron, Genesis etc. More abstract networks relying on rate-based units (i.e. with non-spi ...
DATABASES FOR ARTIFICIAL INTELLIGENCE
... CONCLUSION Hence from above mentioned all points in this paper conclusion comes to a single point that in today’s era where there is so drastic increase in data commonly termed as “Big Data”, it seems very inefficient to use traditional system that is nothing but relational databases but since now d ...
... CONCLUSION Hence from above mentioned all points in this paper conclusion comes to a single point that in today’s era where there is so drastic increase in data commonly termed as “Big Data”, it seems very inefficient to use traditional system that is nothing but relational databases but since now d ...
Emotion and decision-making explained: A prEcis
... representations produced by punishers or stimuli associated with punishers. Drug addiction produced by the psychomotor stimulants such as amphetamine and cocaine can be seen as activating the brain at the stage where the outputs of the amygdala and OFC, which provide representations of whether stimu ...
... representations produced by punishers or stimuli associated with punishers. Drug addiction produced by the psychomotor stimulants such as amphetamine and cocaine can be seen as activating the brain at the stage where the outputs of the amygdala and OFC, which provide representations of whether stimu ...
Argument Mining for Educational Applications
... • In this HIT you will talk to an automated system using natural language. You will be given a task and asked to speak to your browser to solve it (under the heading 'Task for this HIT'). A typical task would be to find a restaurant according to some constraints and then get some information about i ...
... • In this HIT you will talk to an automated system using natural language. You will be given a task and asked to speak to your browser to solve it (under the heading 'Task for this HIT'). A typical task would be to find a restaurant according to some constraints and then get some information about i ...
Journal of Systems and Software:: A Fuzzy Neural Network for
... present logic, suitable for direct or advanced knowledge presentation and has better logic performance. But fuzzy logic system cannot automatically generate and adjust membership function and rules. Fuzzy neural network (FNN) combined by neural network and fuzzy system, not only can mimic the human ...
... present logic, suitable for direct or advanced knowledge presentation and has better logic performance. But fuzzy logic system cannot automatically generate and adjust membership function and rules. Fuzzy neural network (FNN) combined by neural network and fuzzy system, not only can mimic the human ...
SIGCHI Conference Paper Format
... decide about the required assistance. Activity modelling, representation and recognition has attracted increasing attention in recent years, in particular in ambient assistive living settings. Approaches to activity modeling, representation and recognition can be generally classified into three cat ...
... decide about the required assistance. Activity modelling, representation and recognition has attracted increasing attention in recent years, in particular in ambient assistive living settings. Approaches to activity modeling, representation and recognition can be generally classified into three cat ...
The advantages of distributed computing are Disadvantages are
... Automatic speech recognition , speech synthesis, machine translation, handwritten character recognition are the applications that helps it in communicating in one’s own natural language. ...
... Automatic speech recognition , speech synthesis, machine translation, handwritten character recognition are the applications that helps it in communicating in one’s own natural language. ...
Ochsner
... Construct 2: Recognition of and Response to Social-Affective Stimuli Once the social-affective value of a stimulus has been learned, it is important that an organism can quickly identify it in the future and respond appropriately. The systems important for affective learning described in the precedi ...
... Construct 2: Recognition of and Response to Social-Affective Stimuli Once the social-affective value of a stimulus has been learned, it is important that an organism can quickly identify it in the future and respond appropriately. The systems important for affective learning described in the precedi ...
