2017年8月15日 · In this paper, we propose and implement a novel neural network algorithm based on modifying the emotional neural network (EmNN) model to unify the prototype- and adaptive-learning theories. We refer to our new model as “prototype-incorporated EmNN”.

Emnn is the main antagonist of Where They Cremate the Roadkill. He plays the role of the Devil, and bares The Devil's tarot card.

This is where he then encounters a mysterious entity named Emnn, who is later revealed to be The Devil. He is then sent on a mass killing spree by The Devil in order to clear himself of his past mistakes and taking revenge on those who have wronged him in the past.

Emnn is the main antagonist of Where They Cremate Roadkill. He plays the role of The Devil, the opposition of God themselves. He's the main driving force for Coolie, being the one who sent him on his quest to kill 24 beings who gave Coolie trauma in his previous life.

In this paper, we propose and implement a novel neural network algorithm based on modifying the emotional neural network (EmNN) model to unify the prototype- and adaptive-learning theories. We refer to our new model as "prototype-incorporated EmNN".

2020年10月1日 · Accordingly, the paper proposes a recent development of a highly accurate machine learning model emotional neural networks (EmNNs) which is hybridized with conventional particle swarm optimization (PSO) technique for the diagnosis of CAD.

2018年8月1日 · In this paper, we propose and implement a novel neural network algorithm based on modifying the emotional neural network (EmNN) model to unify the prototype- and adaptive-learning theories. We refer to our new model as “prototype-incorporated EmNN”.

In Prototype-learning theory, prototypes are usually used, one prototype per class of the different classes contained in the task. This paper proposes a model that implements a neural network algorithm based on modifying the emotional neural network (EmNN) model to unify the prototype and adaptive-learning theories.

In this paper, we propose and implement a novel neural network algorithm based on modifying the emotional neural network (EmNN) model to unify the prototype and adaptive learning theories. We refer to our new model as “PI-EmNN” (Prototype-Incorporated Emotional Neural Network).

This paper proposes a model that implements a neural network algorithm based on modifying the emotional neural network (EmNN) model to unify the prototype and adaptive-learning theories. Model is referred as “prototype-incorporated EmNN”.