InterCriteria Analysis of Different Variants of ACO Algorithm for Wireless Sensor Network PositioningAnt Colony OptimizationInterCriteria Analysis Wireless Sensor NetworkWireless sensor networks are formed by spatially distributed sensors, which communicate in a wireless way. This network can monitor various ...
an algorithm was developed that could imitate the way our neurons connect. One of the characteristics of deep learning is that it gets smarter the more data it's trained on.
However, many modern programming languages have their roots in Ada Lovelace’s first machine algorithm, developed for Charles Babbage’s Difference Machine in 1843. Today, people still use a vast array of different coding and programming languages. However, the list of the most popular ones spans...
Convolutional neural networks (CNNs) and generative adversarial networks (GANs) are examples ofneural networks-- a type of deep learning algorithm modeled after how the human brain works. CNNs, one of the oldest and most popular of thedeep learningmodels, were introduced in the 1980s and are ...
Apart from driving sales and boosting traffic, an email list guards your business against algorithm change, diminishing search engine rankings and other unpredictable online changes. With an extensive email list, you can effectively market or promote your products and services. Above all, it allows ...
True: if n >=2 then yield (x + y) % n else x += y fib_iterable([1]) # [0, 1] fib_iterable([2]).next() Here's a Python program that computes fibonacci numbers: def fib(n): if (not n) or (n == 10**7-2): return 99 # stop condition for the recursive algorithm. ...
Geo-social media data involve various kinds of inhomogeneities. These can concern, amongst others, the users, but also spatial distributions or the fact that the most frequently used hashtags, keywords or emojis often have little relevance in the context under investigation. In order to properly ta...
Previous work8,14,15has shown that directed exploration in humans is well captured by the upper confidence bound (UCB) algorithm16, in which the uncertainty bonus is the one-sided confidence interval of the expected value: $${a}_{t}=\arg \max _{k}\left[{Q}_{t}(k)+{U}_{t}(k)...
Software with GUI in which you can apply many different kinds of blurs and noises and then apply the Lucy-Richardson deconvolution algorithm to restore the original image. The project is written in C++ and uses GTK+3 for the GUI. - TALLEC-Scott/Lucy-Rich
The same algorithm may show different behavior for different reward functions, leading to the dilemma of choosing the right RL algorithms suitable for the problem. To make the controller more robust, disturbances such as wind and wave forces must be added to the ship model. However, very few ...