In this investigation, an approach using Coactive Neuro-Fuzzy Inference System (CANFIS) as diagnosis system for breast cancer has been proposed on Wisconsin Breast Cancer Data (WBCD). It is occasionally difficult to attain the ultimate diagnosis even for medical experts due to the complexity and non-linearity of the relationships between the large measured factors, which can be possibly resolve...

This paper presents the design of Coactive Adaptive Neuro-Fuzzy Observer based sensor fault detection and fault tolerant control under sensor failure conditions for a three-tank interacting level process. Fault detection is performed by estimating the states of the level process and comparing them with measured values. A fault is signaled when the difference between the estimated and measured v...

Devolution of the power grid into smart was necessitated by proliferation sensitive load profiles system, as well incessant environmental challenges. These two factors culminated aggravated disturbances that cause serious havoc along entire system structure. The traditional proportional-plus-integral-plus-derivative (PID) solution offered distribution synchronous compensator (DSTATCOM) could no...

Accurate monitoring and forecasting of drought are crucial. They play a vital role in the optimal functioning irrigation systems, risk management, readiness, alleviation. In this work, Artificial Intelligence (AI) models, comprising Multi-layer Perceptron Neural Network (MLPNN) Co-Active Neuro-Fuzzy Inference System (CANFIS), regression, model including Multiple Linear Regression (MLR), were in...

A Neural Network, in general, is not considered to be a good solver of mathematical and binary arithmetic problems. However, networks have been developed for such problems as the XOR circuit. This paper presents a technique for the implementation of the Half-adder circuit using the CoActive Neuro-Fuzzy Inference System (CANFIS) Model and attempts to solve the problem using the NeuroSolutions 5 ...

Water quality experiments are difficult, costly, and time-consuming. Therefore, different modeling methods can be used as an alternative for these experiments. To achieve the research objective, geospatial artificial intelligence approaches such self-organizing map (SOM), neural network (ANN), co-active neuro-fuzzy inference system (CANFIS) were to simulate groundwater in Mazandaran plain north...