multilayer bach propagation neural networks have been considered by researchers. despite their outstanding success in managing contact between input and output, they have had several drawbacks. for example the time needed for the training of these neural networks is long, and some times not to be teachable. the reason for this long time of teaching is due to the selection unsuitable network par...

Machine-learning algorithms aid predictions for complex systems with multiple influencing variables. However, many neural-network related algorithms behave as black boxes in terms of revealing how the prediction of each data record is performed. This drawback limits their ability to provide detailed insights concerning the workings of the underlying system, or to relate predictions to specific ...

This paper proposes an algorithm for speech parameter generation from continuous mixture HMMs which include dynamic features, i.e., delta and delta-delta parameters of speech. We show that the parameter generation from HMMs using the dynamic features results in searching for the optimal state sequence and solving a set of linear equations for each possible state sequence. To solve the problem, ...

Prediction of heart disease is very important because it is one of the causes of death around the world. Moreover, heart disease prediction in the early stage plays a main role in the treatment and recovery disease and reduces costs of diagnosis disease and side effects it. Machine learning algorithms are able to identify an effective pattern for diagnosis and treatment of the disease and ident...

あらまし ニューラルネットワークの並列処理を生かした高速演算処理を実現するためには,ソフトウェアの 直列演算ではなく,すべてのニューロンをハードウェアに並列実装することが望ましい.筆者らはこれまでに, ディジタル回路のハードウェア実装に適した ∆Σ 変調に基づくパルスニューラルネットワークを提案した.提案 したニューラルネットワークは,∆Σ 変調された 1 ビットのパルス信号で値が表現されるため小さな回路規模で 実現可能であり,1 ビットでありながら精度の良い演算を実現できる.本論文では,提案するニューラルネット ワークのハードウェア実装法を提案する.そして,GHA学習則を組み込んだニューラルネットワークを,FPGA 上にハードウェア実装し,その動作検証を行う.また,提案するニューラルネットワークと CPU を FPGA 上 に実装し,単位時間,単位回路規模当りに処理できるビット数を...

Let $mathfrak{A}$ be an algebra. A linear mapping $delta:mathfrak{A}tomathfrak{A}$ is called a textit{derivation} if $delta(ab)=delta(a)b+adelta(b)$ for each $a,binmathfrak{A}$. Given two derivations $delta$ and $delta'$ on a $C^*$-algebra $mathfrak A$, we prove that there exists a derivation $Delta$ on $mathfrak A$ such that $deltadelta'=Delta^2$ if and only if either $delta'=0$ or $delta=sdel...

Multi agent Markov decision processes (MMDPs), as the generalization of Markov decision processes to the multi agent case, have long been used for modeling multi agent system and are used as a suitable framework for Multi agent Reinforcement Learning. In this paper, a generalized learning automata based algorithm for finding optimal policies in MMDP is proposed. In the proposed algorithm, MMDP ...

Research on using project work in teaching various disciplines has pointed out a number of challenges facing teachers. Similar research in the EFL classroom, however, has been under-researched. This study aimed to fill the gap with a report on the Vietnamese high school teachers’ challenges in implementing project-based learning in the setting of curricular innovation in English instruction nat...

Research on using project work in teaching various disciplines has pointed out a number of challenges facing teachers. Similar research in the EFL classroom, however, has been under-researched. This study aimed to fill the gap with a report on the Vietnamese high school teachers’ challenges in implementing project-based learning in the setting of curricular innovation in English instruction nat...