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A rede neural é uma rede ou circuito de ne … A rede neural é uma rede ou circuito de neurônios biológicos, ou em um sentido mais moderno, uma rede neural artificial, composta de neurônios artificiais ou nodos. Portanto, uma rede neural pode ser uma rede neural biológica, composta por neurônios biológicos, ou uma rede neural artificial, usada eminteligência artificial (IA). As conexões de neurônios biológicos são representadas nas redes neurais artificiais como pesos entre nodos. Um peso positivo representa uma conexão estimulante enquanto valores negativos representam conexões inibitórias. Finalmente, a função de ativação controla a amplitude de saída. Por exemplo, um intervalo de saída aceitável é normalmente entre 0 e 1, ou poderia ser também entre -1 e 1. Essas redes neurais artificiais podem ser treinadas por um conjunto de dados e usadas para modelagem preditiva, controle adaptativo e aplicações onde as redes podem ser treinadas através de um conjunto de dados. A autoaprendizagem pela experiência pode acontecer entre as redes, gerando conclusões de um grupo de informações complexo e aparentemente não relacionado ao problema.aparentemente não relacionado ao problema.
, A neural network is a network or circuit o … A neural network is a network or circuit of biological neurons, or, in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus, a neural network is either a biological neural network, made up of biological neurons, or an artificial neural network, used for solving artificial intelligence (AI) problems. The connections of the biological neuron are modeled in artificial neural networks as weights between nodes. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections. All inputs are modified by a weight and summed. This activity is referred to as a linear combination. Finally, an activation function controls the amplitude of the output. For example, an acceptable range of output is usually between 0 and 1, or it could be −1 and 1. These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset. Self-learning resulting from experience can occur within networks, which can derive conclusions from a complex and seemingly unrelated set of information.nd seemingly unrelated set of information.
, 신경망(神經網) 또는 뉴럴 네트워크(neural network)는 신경회로 또는 신경의 망(網)으로, 현대적 의미에서는 인공 뉴런이나 노드로 구성된 인공 신경망을 의미한다. 그러므로 신경망은 실제 생물학적 뉴런으로 구성된 이거나 인공지능(AI) 문제를 해결하기 위한 인공 신경망으로 구분할 수 있다. 생물학적 뉴런의 연결은 하중(무게)으로 모델링된다.
, Een neuraal netwerk, vroeger ook neuronaal … Een neuraal netwerk, vroeger ook neuronaal netwerk genoemd, is een groep van verbonden neuronen (zenuwcellen). De twee belangrijkste vormen zijn biologische neurale netwerken, in het bijzonder het menselijk brein, en kunstmatige neurale netwerken. Dit artikel gaat in meer algemene zin in op de relatie tussen beide begrippen.n in op de relatie tussen beide begrippen.
, Una xarxa neuronal és una xarxa o circuit … Una xarxa neuronal és una xarxa o circuit de neurones, o en un sentit modern, una xarxa neuronal artificial, composta de neurones o nodes artificials. Així, una xarxa neuronal és una xarxa neuronal biològica, formada per neurones biològiques reals, o una xarxa neuronal artificial, per resoldre problemes d’intel·ligència artificial (IA). Les connexions de la neurona biològica es modelen com a pesos. Un pes positiu reflecteix una connexió excitadora, mentre que els valors negatius signifiquen connexions inhibidores. Totes les entrades es modifiquen per un pes i es sumen. Aquesta activitat es coneix com una combinació lineal. Finalment, una funció d’activació controla l’ amplitud de la sortida. Per exemple, un rang acceptable de sortida sol estar entre 0 i 1, o bé podria ser -1 i 1. Aquestes xarxes artificials es poden utilitzar per a models predictius, control adaptatiu i aplicacions on es poden entrenar mitjançant un conjunt de dades. L’autoaprenentatge resultant de l'experiència es pot produir a les xarxes, que poden derivar conclusions d’un conjunt d’informació complexa i aparentment no relacionada.ció complexa i aparentment no relacionada.
, الشبكة العصبية هي شبكة الخلايا العصبية، أو … الشبكة العصبية هي شبكة الخلايا العصبية، أو بالتوجه الحديث الشبكة العصبية الاصطناعية تتكون الشبكة العصبية الاصطناعية من خلايا عصبية أو عقد صناعية. الشبكة العصبية إما أن تكون شبكة عصبية بيولوجية مصنوعة من أعصاب بيولوجية أو أن تكون شبكة عصبية صناعية لحل مشاكل وقضايا الذكاء الاصطناعي. صناعية لحل مشاكل وقضايا الذكاء الاصطناعي.
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Een neuraal netwerk, vroeger ook neuronaal … Een neuraal netwerk, vroeger ook neuronaal netwerk genoemd, is een groep van verbonden neuronen (zenuwcellen). De twee belangrijkste vormen zijn biologische neurale netwerken, in het bijzonder het menselijk brein, en kunstmatige neurale netwerken. Dit artikel gaat in meer algemene zin in op de relatie tussen beide begrippen.n in op de relatie tussen beide begrippen.
, A neural network is a network or circuit o … A neural network is a network or circuit of biological neurons, or, in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus, a neural network is either a biological neural network, made up of biological neurons, or an artificial neural network, used for solving artificial intelligence (AI) problems. The connections of the biological neuron are modeled in artificial neural networks as weights between nodes. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections. All inputs are modified by a weight and summed. This activity is referred to as a linear combination. Finally, an activation function controls the amplitude of the output. For example, an acceptable range of output is usually between 0 and 1, or iof output is usually between 0 and 1, or i
, 신경망(神經網) 또는 뉴럴 네트워크(neural network)는 신경회로 또는 신경의 망(網)으로, 현대적 의미에서는 인공 뉴런이나 노드로 구성된 인공 신경망을 의미한다. 그러므로 신경망은 실제 생물학적 뉴런으로 구성된 이거나 인공지능(AI) 문제를 해결하기 위한 인공 신경망으로 구분할 수 있다. 생물학적 뉴런의 연결은 하중(무게)으로 모델링된다.
, A rede neural é uma rede ou circuito de ne … A rede neural é uma rede ou circuito de neurônios biológicos, ou em um sentido mais moderno, uma rede neural artificial, composta de neurônios artificiais ou nodos. Portanto, uma rede neural pode ser uma rede neural biológica, composta por neurônios biológicos, ou uma rede neural artificial, usada eminteligência artificial (IA). As conexões de neurônios biológicos são representadas nas redes neurais artificiais como pesos entre nodos. Um peso positivo representa uma conexão estimulante enquanto valores negativos representam conexões inibitórias. Finalmente, a função de ativação controla a amplitude de saída. Por exemplo, um intervalo de saída aceitável é normalmente entre 0 e 1, ou poderia ser também entre -1 e 1.0 e 1, ou poderia ser também entre -1 e 1.
, Una xarxa neuronal és una xarxa o circuit … Una xarxa neuronal és una xarxa o circuit de neurones, o en un sentit modern, una xarxa neuronal artificial, composta de neurones o nodes artificials. Així, una xarxa neuronal és una xarxa neuronal biològica, formada per neurones biològiques reals, o una xarxa neuronal artificial, per resoldre problemes d’intel·ligència artificial (IA). Les connexions de la neurona biològica es modelen com a pesos. Un pes positiu reflecteix una connexió excitadora, mentre que els valors negatius signifiquen connexions inhibidores. Totes les entrades es modifiquen per un pes i es sumen. Aquesta activitat es coneix com una combinació lineal. Finalment, una funció d’activació controla l’ amplitud de la sortida. Per exemple, un rang acceptable de sortida sol estar entre 0 i 1, o bé podria ser -1 i 1.estar entre 0 i 1, o bé podria ser -1 i 1.
, الشبكة العصبية هي شبكة الخلايا العصبية، أو … الشبكة العصبية هي شبكة الخلايا العصبية، أو بالتوجه الحديث الشبكة العصبية الاصطناعية تتكون الشبكة العصبية الاصطناعية من خلايا عصبية أو عقد صناعية. الشبكة العصبية إما أن تكون شبكة عصبية بيولوجية مصنوعة من أعصاب بيولوجية أو أن تكون شبكة عصبية صناعية لحل مشاكل وقضايا الذكاء الاصطناعي. صناعية لحل مشاكل وقضايا الذكاء الاصطناعي.
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