Articles on AI

Comparison Study of AI-based Methods in Wind Energy

 https://www.intechopen.com/chapters/51398

 

Fuzzy logic control for switched reluctance motor drive

https://ieeexplore.ieee.org/document/1176727

 

 

Advantages of Fuzzy Control While Dealing with Complex/ Unknown Model Dynamics: A Quadcopter Example

 https://www.intechopen.com/chapters/50673

 

Retrieval of Optical Constant and Particle Size Distribution of Particulate Media Using the PSO-Based Neural Network

 https://www.intechopen.com/chapters/50071

 

 

A Novel Artificial Organic Controller with Hermite Optical Flow Feedback for Mobile Robot Navigation

https://www.intechopen.com/chapters/50313

 

Artificial intelligence and cognitive computing

 https://www.i-scoop.eu/ai-artificial-intelligence-cognitive-computing/

 

Data Warehouse in the Age of AI Maturity

 https://www.singlestore.com/blog/memsql-maturity-framework/

 

Artificial Intelligence in Medical Diagnosis

 https://www.acpjournals.org/doi/abs/10.7326/0003-4819-108-1-80

 

 

 

Comments

Post a Comment

Popular posts from this blog

Boltzmann Machine

Image
  These are stochastic learning processes having recurrent structure and are the basis of the early optimization techniques used in ANN. Boltzmann Machine was invented by Geoffrey Hinton and Terry Sejnowski in 1985. More clarity can be observed in the words of Hinton on Boltzmann Machine. “A surprising feature of this network is that it uses only locally available information. The change of weight depends only on the behavior of the two units it connects, even though the change optimizes a global measure” - Ackley, Hinton 1985. Some important points about Boltzmann Machine − They use recurrent structure. They consist of stochastic neurons, which have one of the two possible states, either 1 or 0. Some of the neurons in this are adaptive f r e e s t a t e and some are clamped f r o z e n s t a t e If we apply simulated annealing on discrete Hopfield network, then it would become Boltzmann Machine. Objective of Boltzmann Machine The main purpose of Boltzmann Machine is t...
Read more

ANN - Basic Concepts

Image
  Neural networks are parallel computing devices, which is basically an attempt to make a computer model of the brain. The main objective is to develop a system to perform various computational tasks faster than the traditional systems. These tasks include pattern recognition and classification, approximation, optimization, and data clustering. What is Artificial Neural Network? Artificial Neural Network A N N is an efficient computing system whose central theme is borrowed from the analogy of biological neural networks. ANNs are also named as “artificial neural systems,” or “parallel distributed processing systems,” or “connectionist systems.” ANN acquires a large collection of units that are interconnected in some pattern to allow communication between the units. These units, also referred to as nodes or neurons, are simple processors which operate in parallel. Every neuron is connected with other neuron through a connection link. Each connection link is associat...
Read more