外文翻譯---人工神經(jīng)網(wǎng)絡(luò)(已修改)
2025-06-01 10:52 本頁面
【正文】 英文文獻(xiàn) 英文資料： Artificial neural works (ANNs) to ArtificialNeuralNetworks, abbreviations also referred to as the neural work (NNs) or called connection model (ConnectionistModel), it is a kind of model animals neural work behavior characteristic, distributed parallel information processing algorithm mathematical model. This work rely on the plexity of the system, through the adjustment of mutual connection between nodes internal relations, so as to achieve the purpose of processing information. Artificial neural work has since learning and adaptive ability, can provide in advance of a batch of through mutual correspond of the input/output data, analyze master the law of potential between, according to the final rule, with a new input data to calculate, this study analyzed the output of the process is called the training. Artificial neural work is made of a number of nonlinear interconnected processing unit, adaptive information processing system. It is in the modern neuroscience research results is proposed on the basis of, trying to simulate brain neural work processing, memory information way information processing. Artificial neural work has four basic characteristics: (1) the nonlinear relationship is the nature of the nonlinear mon characteristics. The wisdom of the brain is a kind of nonlinear phenomena. Artificial neurons in the activation or inhibit the two different state, this kind of behavior in mathematics performance for a nonlinear relationship. Has the threshold of neurons in the work formed by the has better properties, can improve the fault tolerance and storage capacity. (2) the limitations a neural work by DuoGe neurons widely usually connected to. A system of the overall behavior depends not only on the characteristics of single neurons, and may mainly by the unit the interaction between the, connected to the. Through a large number of connection between units simulation of the brain limitations. Associative memory is a typical example of limitations. (3) very qualitative artificial neural work is adaptive, selforganizing, learning ability. Neural work not only handling information can have all sorts of change, and in the treatment of the information at the same time, the nonlinear dynamic system itself is changing. Often by iterative process description of the power system evolution. (4) the convexity a system evolution direction, in certain conditions will depend on a particular state function. For example energy function, it is corresponding to the extreme value of the system stable state. The convexity refers to the function extreme value, it has DuoGe DuoGe system has a stable equilibrium state, this will cause the system to the diversity of evolution. Artificial neural work, the unit can mean different neurons process of the object, such as characteristics, letters, concept, or some meaningful abstract model. The type of work processing unit is divided into three categories: input unit, output unit and hidden units. Input unit accept outside the world of signal and data。 Output unit of output system processing results。 Hidden unit is in input and output unit, not between by external observation unit. The system The connections between neurons right value reflect the connection between the unit strength, information processing and embodied in the work said the processing unit in the connections. Artificial neural work is a kind of the procedures, and adaptability, brain style of information processing, its essence is through the work of transformation and dynamic behaviors have a kind of parallel distributed information processing function, and in different levels and imitate people cranial nerve system level of information processing function. It is involved in neuroscience, thinking science, artificial intelligence, puter science, etc DuoGe field cross discipline. Artificial neural work is used the parallel distributed system, with the traditional artificial intelligence and information processing technology pletely different mechanism, overe traditional based on logic of the symbols of the artificial intelligence in the processing of intuition and unstructured information of defects, with the adaptive, selforganization and realtime characteristic of the study. Development history In 1943, psychologists c
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