Introducing Neural Networks as a Computational Intelligent Technique

Azizi, Aydin; Entessari, Farshid; Osgouie, Kambiz Ghaemi; Rashnoodi, Amirhossein Rezaei

doi:10.4028/www.scientific.net/amm.464.369

Cited by 31 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the smart graspers can potentially be used as educational tools, surgical simulators as well as in Tele-Robotic surgery. Utilizing Artificial Intelligence (AI) techniques such as Neural Networks [12][13][14][15][16][17][18][19] , Fuzzy logic 20 , Ring Probabilistic Logic Neuron 21,22 can be utilized to model the generated data by sensing the material in minimally invasive surgery, and to get the reliable data the AI models can be optimized using Genetic Algorithm 23,24 , Particle Swarm 21 and other AI optimization techniques.…”

Section: Discussionmentioning

confidence: 99%

Sensing the material by minimally invasive surgery grasper

Azizi

Hortamani

Zabihollah³

2018

IRATJ

Self Cite

View full text Add to dashboard Cite

Minimally Invasive Surgery (MIS) is a modern surgical technique. In MIS the surgeon should have more experienced compared to open surgery to perform a surgery by long instruments separation from the operation room. So, the surgeon has not any sense of grasping the organ as normally has in regular surgery in which the surgeon has a complete sense of touch. Thus, a less expert surgeon who wishes to perform MIS should be trained and perform open surgery for a couple of years before he/she can involve in a surgery operation. These limitations motivate researchers in biomedical engineering to explore the new smart system and design new surgical grasper. In this project we design and model a smart grasper which can sense and recognition the grasped material respect to the generated voltage, also finding the magnitude of the allowable applied force by the surgeon which does not hit the organs is possible.

show abstract

Section: Discussionmentioning

confidence: 99%

Sensing the material by minimally invasive surgery grasper

Azizi

Hortamani

Zabihollah³

2018

IRATJ

Self Cite

View full text Add to dashboard Cite

show abstract

“…Artificial intelligence techniques such as Artificial Neural Networks (ANN) [47][48][49], Ring Probabilistic Logic Neuron [50,51], Fuzzy logic [52] and Genetic algorithm [53] are important algorithms which can be taken in account in order to perform the modelling of AIDS as future work. …”

Section: Discussionmentioning

confidence: 99%

Control of HIV/AIDS Infection System with Reverse Transcriptase Inhibitors Dosages Design via Robust Feedback Controller

Azizi¹

2017

Biosens J

View full text Add to dashboard Cite

Acquired Immune Deficiency Syndrome (AIDS) is a disease or continuum condition which is due to Human Immunodeficiency Virus (HIV) infection. One in five people are infected with HIV are not aware of the infection. Early detection of the infection helps the infected people to take medications to avoid future consequences and reduce the risk of transmitting the disease. Reverse transcriptase inhibitors (RTIs) were the first available drug and were considered a principal kind of medication available to treat HIV patients. These drugs are still successful, effective, and are considered to have imperative solutions for treating HIV when joined with different medications. Investigating effect of this branch of the drugs on HIV and model this interaction has a great of importance to control AIDS. This need can be addressed by the control system engineering which uses control theory to estimate and design a system. Since Stability is the most significant requirement of the system, and a system of instability cannot be expected for a particular transient reaction or steady state error specification then objective which is needed to be achieved by working on this research is to design a stabilized model of a patient having AIDS. In this research feedback controllers, Root locus technique and Routh Hurwitz method have been adopted to design such an advanced transformative controller which robustly regulates RTIs infusion dosages considering the amount of HIV viruses in infected human body.

show abstract

“…Artificial neural networks have been utilized to different engineering and science fields such as control, data processing [17], robotics [18], function approximation [19], and pattern and speech recognition [20]. An ANN consists of interconnecting neurons which have been categorized into three layers which are, namely, input layer, hidden layer, and output layer [21].…”

Section: Neural Networkmentioning

confidence: 99%

Applications of Artificial Intelligence Techniques to Enhance Sustainability of Industry 4.0: Design of an Artificial Neural Network Model as Dynamic Behavior Optimizer of Robotic Arms

Azizi

2020

Complexity

Self Cite

View full text Add to dashboard Cite

Industrial robots have a great impact on increasing the productivity and reducing the time of the manufacturing process. To serve this purpose, in the past decade, many researchers have concentrated to optimize robotic models utilizing artificial intelligence (AI) techniques. Gimbal joints because of their adjustable mechanical advantages have been investigated as a replacement for traditional revolute joints, especially when they are supposed to have tiny motions. In this research, the genetic algorithm (GA), a well-known evolutionary technique, has been adopted to find optimal parameters of the gimbal joints. Since adopting the GA is a time-consuming process, an artificial neural network (ANN) architecture has been proposed to model the behavior of the GA. The result shows that the proposed ANN model can be used instead of the complex and time-consuming GA in the process of finding the optimal parameters of the gimbal joint.

show abstract

Introducing Neural Networks as a Computational Intelligent Technique

Cited by 31 publications

References 9 publications

Sensing the material by minimally invasive surgery grasper

Sensing the material by minimally invasive surgery grasper

Control of HIV/AIDS Infection System with Reverse Transcriptase Inhibitors Dosages Design via Robust Feedback Controller

Applications of Artificial Intelligence Techniques to Enhance Sustainability of Industry 4.0: Design of an Artificial Neural Network Model as Dynamic Behavior Optimizer of Robotic Arms

Contact Info

Product

Resources

About