Search Deep learning, 300 result(s) found

E- learning system using jsp

It is a mini project to simulate e-learning system. It is coded in JSP. The database is mysql. the database connectivity code is included in the code. In the application user can create an account, can study the given study materials, attempt the objective questions, get a pass or fail&...

Vector-ILC iterative learning

Breaking future for many years people have been caught in Arimoto Thought leader routes Perl-XForms new method of iterative learning control with a view to institution Iterative learning Control both what 理論 。 Based on Userboxes/Mathematics both ways, pass over the right algorithm usually the...

Supervised learning neural network regression--of gasoline octane number based on NIR prediction

Neural network learning rule, also known as neural networks training algorithm to calculate the update neural network's weights and thresholds. learning rule has two main categories: supervised learning and unsupervised learning. In supervised learning, you need to learn the rules to provide a serie...

Supervised learning neural network classification type – iris recognition

Supervised learning neural network with good learning abilities are widely used in various fields, which can not only solve regression problems, and can also be used for pattern recognition, classification and identification. This chapter continues with two supervised learning neural network (GRNN a...

Unsupervised learning of neural network classification – mine water inrush water source

As concerns cognitive ability and environmental constraints, are often impossible or very difficult to obtain the desired output, in this case, the neural network based on supervised learning is often powerless.With supervised learning neural networks, unsupervised learning neural network without kn...

Extreme learning machine for regression and classification – comparative study

Single hidden-layer feedforward neural networks (Single-hidden Layer Feedforward Neural Network,SLFN) for its excellent ability to learn has been widely applied in many fields. However, the conventional learning algorithms (such as BP algorithm and so on) some inherent disadvantages become the bottl...

Extreme learning machine in study on application of regression and classification problems--comparison

Single hidden-layer feedforward neural networks (Single-hidden Layer Feedforward Neural Network,SLFN) for its excellent ability to learn has been widely applied in many fields. However, the conventional learning algorithms (such as BP algorithm and so on) some inherent disadvantages become the bottl...

Design and simulation of multi-agent Q-learning algorithm

Multi-Agent toolkit can be directly used for multi-agent reinforcement learning algorithm design and simulation. Reinforcement learning (reinforcement learning, also known as reinforcement learning, evaluation of learning) is an important method of machine learning, robotics and intelligent control...

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